Display Setting is not showing

For show unity setting

$unity-control-center

Setting in command line
$xrandr
...
DVI-I-2 connected primary 1920x1200+0+0 (normal left inverted right x axis y axis) 518mm x 324mm
   1920x1200     59.95*+
   1600x1200     60.00 
   1280x1024     75.02    60.02 
   1280x960      60.00 
   1152x864      75.00 
   1024x768      75.03    70.07    60.00 
   800x600       75.00    72.19    60.32    56.25 
   640x480       75.00    72.81    59.94 
...
$xrandr --output DVI-I-2 1600x1200 #for choice
$xrandr --fb 1152x768 #another way
For problems in aspect ratio (wide mode), for us the better choice is:
$xrandr --output DVI-I-2 --scale 1.0x0.85


Other alternative is related to create new entry, using next commands

$cvt 1600 1200 60
 # 1600x1200 59.87 Hz (CVT 1.92M3) hsync: 74.54 kHz; pclk: 161.00 MHz
Modeline "1600x1200_60.00"  161.00  1600 1712 1880 2160  1200 1203 1207 1245 -hsync +vsync

$xrand --newmode "1600x1200_60.00"  161.00  1600 1712 1880 2160  1200 1203 1207 1245 -hsync +vsync

$xrand --addmode "1600x1200_60.00"  #but doesn't works for us

How to create war file for tomcat without eclipse

references:
[1] https://stackoverflow.com/questions/1001714/how-to-create-war-files

Installing Android on VMWare

VMWare paremeters

• bios.forceSetupOnce = "TRUE"
  
• bios.bootDelay = "xxxx"

Resources
Android images http://www.osboxes.org/android-x86/

References
[1] https://kb.vmware.com/s/article/1004129
[2] http://siliseed.com/2013/08/instalar-android-en-una-maquina-virtual-windows.html
[3] https://android.stackexchange.com/questions/141700/how-to-fix-android-x86-install-on-vmware
[4] https://android.stackexchange.com/questions/144535/android-x86-marshmallow-not-booting-on-virtualbox-and-vmware-workstation

3D Cell Viewer

Tools online
http://www.allencell.org/3d-cell-viewer.html

Linux Drive Series/C210

Auxiliary Commands
$ journalctl
$ systemctl
$ alsactl

$ lsof | grep pcm  #still using
$ lsmod | grep snd #modules

$ sudo apt-get remove pulseaudio
$ sudo apt-get remove alsa
$ sudo apt-get install alsa


$ lspci 
Audio device: Intel Corporation 7 Series/C210 Series Chipset Family High Definition Audio Controller

$ lspci -v | grep Audio

$ sudo modprobe snd-hda-intel
modprobe: ERROR: ../libkmod/libkmod.c:586 kmod_search_moddep() could not open moddep file '/lib/modules/4.10.0-37-generic/modules.dep.bin'
modprobe: FATAL: Module snd-hda-intel not found in directory /lib/modules/4.10.0-37-generic

$ vi /etc/modprobe.d/alsa-base.conf  #for verify



*When is right installed
$ cat /proc/asound/card0/codec* | grep Codec
Codec: Realtek ALC887

$ cat /proc/asound/cards
 0 [Intel                ]: HDA-Intel - HDA Intel
 1 [NVidia            ]: HDA-Intel - HDA NVidia
 2 [U0x46d0x825 ]: USB-Audio - USB Device 0x46d:0x825

Upgrade
[*] https://wiki.ubuntu.com/Audio/UpgradingAlsa/DKMS
$ rm -r ~/.config/pulse;
$ pulseaudio -k



Note: try to select previous  version on grub

References
 [1] https://help.ubuntu.com/community/HdaIntelSoundHowto
 [2] https://askubuntu.com/questions/508692/intel-corporation-7-series-c210-series-isnt-being-detected-by-any-module
 

Lecture about SoundScape

Acoustic scenes, Acoustic events and Feature aggregation

D-CASE2013

Environment sound recognition using short-time feature aggregation
https://link.springer.com/article/10.1007/s10844-017-0481-4

Task of segmentation
  Speech recognition
  Musical information retrieval(MIR)
  Environment sound
  Survillance
  Index of video content
Task of acoustic events classification
  Statistic large set of features and K-NN
  Feature agregation (Bag of feaures)
  HMM/GMM(better for segementation and annotation for small scales)
  Deep learning
  Blind segmentation and SVM


Recurrence quantification analysis(RQA), RQA Features
Short Time Fourier Transform (STFT)

Lectures Neural Networks

Colour and Texture, but fail for shape.

Generative Adversarial Networks
https://arxiv.org/pdf/1406.2661.pdf

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks https://junyanz.github.io/CycleGAN/

Eigen linear algebra library

Home http://eigen.tuxfamily.org
Examples https://eigen.tuxfamily.org/dox/group__TutorialLinearAlgebra.html

PDF Tools & Editors

PDF Annotator

[1] online/free/for signatures https://www.pdfescape.com/

PDF Tools 

$sudo apt-get install pdftk

$pdftk A.pdf cat 1-9 26-end output B.pdf # keep pages 1-9 and 26-end of the original file

$pdftk file1.pdf file2.pdf file3.pdf cat output newfile.pdf #join

$convert file1.pdf file2.pdf file3.pdf output.pdf #reduce resolution

$sudo apt-get install pdfmod #remove pages, works with A4

$sudo apt-get install pdfshuffler #remove pages, works with beamer too

PDF Editors

[1] Master PDF Editor http://code-industry.net/
[2] Fonst http://linuxg.net/how-to-install-master-pdf-editor-1-9-on-ubuntu-linux-mint-debian-fedora-opensuse-and-many-other-linux-systems/

[3] xournal, is possible add notes and free text, and [3] have other edition tools.
http://kuboosoft.blogspot.com/2012/07/5-editores-de-pdf-para-linux.html  
 
[4] Extract images from PDF online
http://pdfaid.com/ExtractImages.aspx

[5] How to extract part https://askubuntu.com/questions/221962/how-can-i-extract-a-page-range-a-part-of-a-pdf

OpenCV2 in Python for Windows

1.   Below Python packages are to be downloaded and installed to their default locations.
  Python-2.7.x.
  Numpy.
  Matplotlib (Optional).
2.    Install all packages into their default locations. Python will be installed to C:/Python27/.
3.    After installation, open Python IDLE. Enter import numpy and make sure Numpy is working fine.
4.    Download latest OpenCV release from sourceforge site and double-click to extract it.
5.    Goto opencv/build/python/2.7
       Copy cv2.pyd to C:/Python27/lib/site-packages.
6.  Test
>>> import cv2
>>> print cv2.__version__

Compiling Windows C++ Project in Linux (wavelet rasterization)

Josiah Manson Codes translate to GNU

Source code:
[*] Windows http://josiahmanson.com/research/wavelet_rasterization/supplemental/wavelet_raster.zip



g++ vect.cpp timer.cpp raster_poly.cpp get_font.cpp global.cpp insert_bez2.cpp insert_line.cpp vect.cpp save.cpp write_grid.cpp main.cpp -Wall -Wextra  -I/usr/include/freetype2 -lfreetype -lpthread -lm -o gnurasterize

_aligned_malloc

void *aligned_alloc(size_t alignment, size_t size);
//Since the question was asked, a new function was standardized by C11
[*] http://en.cppreference.com/w/cpp/memory/c/aligned_alloc
mkdir

#include <sys/types.h>
#include <sys/stat.h>
int result = mkdir("/home/me/test.txt", 0777);

__forceline
[*] https://stackoverflow.com/questions/8897791/how-to-define-forceinline-inline



__declspec

[*] http://gcc.gnu.org/wiki/Visibility
[*] https://stackoverflow.com/questions/2164827/explicitly-exporting-shared-library-functions-in-linux


Time
[*] https://stackoverflow.com/questions/2418157/ubuntu-linux-c-error-undefined-reference-to-clock-gettime-and-clock-settim

Freetype
$ sudo apt-get install libfreetype6-dev
$ g++ ... -I/usr/include/freetype2 -lfreetype

Change FreeImage by PPM
[*] pngwriter https://github.com/pngwriter/pngwriter

[1] PPM Specification http://paulbourke.net/dataformats/ppm/
[2] C/C++ Create PPM File https://rosettacode.org/wiki/Bitmap/Write_a_PPM_file

Related
[1] https://stackoverflow.com/questions/2033997/how-to-compile-for-windows-on-linux-with-gcc-g

Wavelet rasterization

Lectures
[1]
[2]
[3] http://faculty.cs.tamu.edu/schaefer/research/index.html

Geometry Processing Resources

Courses:
[1] http://www.hao-li.com/Hao_Li/Hao_Li_-_teaching_%5BCSCI_599__Digital_Geometry_Processing_SS_2015%5D.html
[2] Generating 3D models from: medical images http://www.banterle.com/francesco/courses/2017/be_3drec/
[3] Haar Wavelet (Computer Graphics Course) http://www.faculty.jacobs-university.de/llinsen/teaching/320491.htm More content about lectures and projects and others.


Tools
[1] http://download.slicer.org/
[2] Molecular Modeling http://www.cgl.ucsf.edu/chimera/

Love Equations

https://www.wolframalpha.com

1) plot x^2 + ( 5y/4 - sqrt(abs(x)))^2 = 1
2) plot x^2 + ( y - sqrt(abs(x)))^2 = 2
3) plot x^2 + ( y - (abs(x))^(1/3) )^2 = 1
4) plot (x^2 + y^2 -1)^3 -x^2y^3 = 0

Installing Tensor Flow (Problems)

Main guide
https://www.tensorflow.org/install/install_sources

Cannot find bazel. Please install bazel.
Solution https://docs.bazel.build/versions/master/install-ubuntu.html

Monitoring Nvidia card

$watch -n 1 nvidia-smi #to obtain continuous updates without filling the terminal with output

$sudo pip install gpustat
$gpustat
 
$sudo pip install glances
$sudo pip install glances[gpu]
$glances

Resources:
[1] Cuda 7.5 http://developer.download.nvidia.com/compute/cuda/7.5/Prod/local_installers/cuda_7.5.18_linux.run
[2] Install Cuda 7.5 http://www.r-tutor.com/gpu-computing/cuda-installation/cuda7.5-ubuntu

Vertex Smooth

Resources:
[1] http://www.stat.wisc.edu/~mchung/papers/HBM2001/HBM2001diffusion.html

[2] http://www.stat.wisc.edu/~mchung/papers/HBM2001/chung.2001.OHBM.pdf
[3] http://www.stat.wisc.edu/~mchung/papers/HBM2001/chung.2001.OHBMposter.pdf

[4] http://docs.salome-platform.org/5/smesh/user/smoothing_page.html
[5] https://www.youtube.com/watch?v=TQcS2q_rAHQ
     https://i.ytimg.com/vi/TQcS2q_rAHQ/maxresdefault.jpg
[6] http://grasshopperprimer.com/en/1-foundations/1-5/1_surface-geometry.html

HPC - High Performance Computing

[1] SLURM https://www.hpc.cam.ac.uk/using-clusters/running-jobs

[2] Module

Latex Desing

Resources
[1] Draw Complex Networks https://github.com/hackl/tikz-network/

Execute VTK Samples on ubuntu

VTK5.10
$locate vtkXOpenGLRenderWindow.cxx
$gedit  ... vtkXOpenGLRenderWindow.cxx
Uncomment next line
#define GLX_GLXEXT_LEGACY

$ CC=/usr/bin/gcc-5 CXX=/usr/bin/g++-5 cmake ..


cmake -DVTK_DIR=/home/DRIVE/Backup2018/Downloads2017/tools2/VTK5.10.1/build .

VTK7.1
$cmake -DVTK_DIR=/home/DRIVE/Downloads/tools/VTK7.1/build .

Resources
[1] How to write in vtk format https://github.com/arborworkflows/Visomics/blob/master/Base/voIOManager.cpp
[2] https://vtk.org/download/

Computer Graphics - Grid Structures

$sudo apt-get install freeglut3-dev
$sudo apt-get install libxmu-dev
$make

Resource:
[1] corner table exercice https://www.cc.gatech.edu/~lena007/cs4451_p2/corner_tab.html

Books online repositories

Library Genesis

Resources:
[0] Main reference https://en.wikipedia.org/wiki/Library_Genesis
      http://93.174.95.27/ 
[1] Mathematic, Biology and others https://libgen.pw (*)
[2] Mathematic and others http://libgen.io (*)
[3] http://gen.lib.rus.ec/
[4] zlibrary https://b-ok.org/ 
[5] sci-hub.tw
[6] https://whereisscihub.now.sh/
[7] Art books https://www.artubook.com (*)

(*) My favorite list


https://marcusnunes.me/posts/livros-gratuitos-da-springer/

Español

'A ver' y 'haber' se pronuncian de la misma forma, pero es habitual confundirlas y utilizarlas de manera incorrecta a la hora de escribir. Por eso, a continuación procedemos a distinguirlas tal y como marca la Real Academia Española (RAE):


A ver: Se trata de la secuencia constituida por la preposición a y el infinitivo verbal ver. Se utiliza en los siguientes casos:
        Para pedir al interloculor que nos deje ver algo: - Mira mi coche. - ¿A ver?
        Para dejar claro una cierta expectación: A ver cuándo viene la ayuda.
        Para llamar la atención sobre algo: A ver, ¿por qué no no vinisteis ayer a casa?
        En los casos en los que equivale a 'claro' o 'naturalmente': ¡A ver! Estaremos allí sin falta.
        En los casos que lleva delante la conjunción si, expresa, bien expectación, curiosidad o interés, a veces también un reto; otras temor o sospecha; y deseo o mandato: ¡A ver si me traes lo que te he pedido!

Haber: Puede tratarse de un verbo o un sustantivo:
        Como verbo se emplea como auxiliar seguido de un participio, para formar los infinitivos compuestos de la conjugación: Debe haber faltado a clase.
        También como verbo se emplea como infinitivo del impersonal que indica la presencia o existencia de lo designado por el sustantivo que lo acompaña: En su casa debe haber mucho dinero.
        Como sustantivo masculino su significado es "conjunto de bienes o caudales de una persona": En su haber contaba con muchos títulos.

Create Partition and Format for Fix HD

$sudo fdisk /dev/sdb #commands d, n, w

$sudo mkntfs /dev/sdb1

$mkfs.ntfs -f /dev/sdb1 

$dmesg | grep sd

$sudo lshw -C disk

Skype on Ubuntu and Centos

Skype on Ubuntu 16

 [1] http://ubuntuhandbook.org/index.php/2017/03/install-skype-5-0-for-linux-ubuntu-16-04/

Skype on Centos 6.5

When i tried install skype on centos 6.5 i received next message:

error: Failed dependencies:                                       
        alsa-lib >= 1.0.23 is needed by skype-4.2.0.13-fc16.i586  
        libQtWebKit.so.4 is needed by skype-4.2.0.13-fc16.i586    
        libstdc++.so.6(GLIBCXX_3.4.15) is needed by skype-4.2.0.13-fc16.i586
        qtwebkit is needed by skype-4.2.0.13-fc16.i586  

then i tried next commands and works very well. 

1) Install EPEL if you haven't already.
#yum install http://dl.fedoraproject.org/pub/epel/6/i386/epel-release-6-8.noarch.rpm

2) Download the RPM here
#wget http://www.bromosapien.net:8080/others/skype-4.2.0.11-4.el6.i686.rpm

3) Install it as so
#yum install skype-4.2.0.11-4.el6.i686.rpm

4) If you receive an error about a GPG key, you may import my key as necessary.
#wget http://www.bromosapien.net:8080/others/SYRKIT-GPG-KEY.pub
#rpm --import SYRKIT-GPG-KEY.pub

References:
[1] http://community.skype.com/t5/Linux/CentOS-RHEL-6-Skype-4-2-RPM-Installation-Steps/td-p/1740485

NVidia Titan X Card problem

#Grub Settings if doesn't starting

Push shift for stop grub and edit(e key)

Replace quit splash with nomodeset if video drive problems

F10 for start with new settings

#add repository 

sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt-get update

#remove previous drivers

$sudo apt-get purge nvidia-* 

titan@titan:~$ sudo apt-cache search nvidia-3
....
nvidia-340 - NVIDIA binary driver - version 340.102
nvidia-361 - Transitional package for nvidia-367
nvidia-361-dev - Transitional package for nvidia-367-dev
nvidia-367 - Transitional package for nvidia-375
nvidia-367-dev - Transitional package for nvidia-375-dev 
nvidia-370-dev - NVIDIA binary Xorg driver development files
nvidia-370 - NVIDIA binary driver - version 370.28
nvidia-375 - NVIDIA binary driver - version 375.66
nvidia-375-dev - NVIDIA binary Xorg driver development files
nvidia-378-dev - NVIDIA binary Xorg driver development files
nvidia-378 - NVIDIA binary driver - version 378.13
nvidia-381-dev - NVIDIA binary Xorg driver development files
nvidia-381 - NVIDIA binary driver - version 381.22
nvidia-384-dev - NVIDIA binary Xorg driver development files
nvidia-384 - NVIDIA binary driver - version 384.47



$sudo apt-get install nvidia-375  #After installation, execute next commands:

$sudo mv /usr/lib/nvidia-375/libEGL.so.1 /usr/lib/nvidia-375/libEGL.so.1.org
$sudo mv /usr/lib32/nvidia-375/libEGL.so.1 /usr/lib32/nvidia-375/libEGL.so.1.org
$sudo ln -s /usr/lib/nvidia-375/libEGL.so.375.39 /usr/lib/nvidia-375/libEGL.so.1
$sudo ln -s /usr/lib32/nvidia-375/libEGL.so.375.39 /usr/lib32/nvidia-375/libEGL.so.1

$sudo ldconfig  #for verify correct link

PD:

  We can't installed titan x on ubuntu 16, we replaced with Geforce 1070 

  We execute above instructions and that works.

Summary good commands:

$ lspci | grep VGA   #for verify nvidia series

$ lspci -vnn | grep -i VGA -A 12 #for verify kernel driver:nvidia  

$ glxinfo | grep OpenGL | grep renderer #for verify opengl 

References:

[1] https://askubuntu.com/questions/61396/how-do-i-install-the-nvidia-drivers/680826

[2] Instalar driver Nvidia manualmente no Ubuntu 16.04 (pt) https://linuxdicasesuporte.blogspot.com.br/2017/03/instalar-driver-nvidia-manualmente-no.html 

[3] Nvidia drivers on Ubuntu 14.04 http://www.binarytides.com/install-nvidia-drivers-ubuntu-14-04/ 

Grid and Fluids Resources

1) Course , Differences finites
   https://www.math.uci.edu/~chenlong/
   https://www.math.uci.edu/~chenlong/226/

1) https://github.com/rlguy/GridFluidSim3D

Computer Vision Laboratories & Courses

Labs:

Computer Vision Lab http://vision.ece.ucsb.edu/

Oxford https://www.robots.ox.ac.uk/~vgg/projects.html

University Central of Florida (Computer Vision -crowds dataset) http://vision.eecs.ucf.edu/

Courses:

1) Computer Vision: Algorithms and Applications http://szeliski.org/Book/ (2017)
2) University of California https://cseweb.ucsd.edu/classes/sp16/cse152-a/
3) Computer vision course https://courses.cs.washington.edu/courses/cse455/09wi/Lects/

Numeric Analysis

[1] [Book] Computational fluid mechanics and heat transfer
http://inis.jinr.ru/sl/Simulation/Tannehill,_CFM_and_Heat_Transfer,2_ed/

Grid/Mesh Generation

Books

[1] http://servidor.demec.ufpr.br/CFD/bibliografia/Basic_Structured_Grid_Generati.pdf
[2] http://people.inf.elte.hu/fekete/algoritmusok_msc/terinfo_geom/konyvek/Computational%20Geometry%20-%20Algorithms%20and%20Applications,%203rd%20Ed.pdf

SQTPM Software for review code submittion

Resources:
[1] Source code on Perl https://github.com/gptelles/sqtpm

Sunat e Sunarp - Búsqueda de razón social

Sunat http://e-consultaruc.sunat.gob.pe/cl-ti-itmrconsruc/jcrS00Alias

Sunarp https://www.sunarp.gob.pe/bus-personas-juridicas.asp

Journals for Bio Informatics

https://scfbm.biomedcentral.com/track/pdf/10.1186/1751-0473-3-6?site=scfbm.biomedcentral.com

springer computer vision http://www.springer.com/computer/image+processing/journal/11263  11 8.2

IEEE http://signalprocessingsociety.org/publications-resources/ieee-transactions-image-processing 44 4.3
ELSEVIER Pattern recognition https://www.journals.elsevier.com/pattern-recognition/ 47 4.5
ELSEVIER Medical image analysis https://www.journals.elsevier.com/medical-image-analysis/ 56 4.1
IEEE Medical images https://ieee-tmi.org/ 68 3.9
ELSEVIER https://www.journals.elsevier.com/computer-vision-and-image-understanding/ 112 3.2
ELSEVIER https://www.journals.elsevier.com/image-and-vision-computing/ 165 2.6
ELSEVIER https://www.journals.elsevier.com/computer-vision-and-image-understanding/ 189 2.4



http://www.guide2research.com/journals/computer-vision

Web Ftp Online

Sites
[1] https://www.onlineftp.ch/

PDF Signature

Resources:
[1] Make signature and put over pdf  https://www.pdfbuddy.com
[2] Draw signature over pdf https://www.pdffiller.com

Machine Learning Lectures & Tools

References:

[1] Clustering notes: http://www.cs.toronto.edu/~mbrubake/teaching/C11/Handouts/Clustering.pdf

Datasets:


EMOTIV EPOC+ 14 Channel Mobile EEG https://archive.ics.uci.edu/ml/datasets/EEG+Eye+State#
https://archive.ics.uci.edu/ml/datasets

Resources:

[1] Optimizing parameters of Classifier https://weka.wikispaces.com/Optimizing+parameters
[2] CSV to ARFF online http://ikuz.eu/csv2arff/

VMWare Player Enter Setup

bios.forceSetupOnce = "TRUE"
bios.bootDelay = "5000"

PCA Feature extraction

References:
[1] PCA http://www.visiondummy.com/2014/05/feature-extraction-using-pca/
[2] Reducción de dimensinalidad usando PCA   https://www.coursera.org/learn/clasificacion-imagenes/lecture/PaTVm/reduccion-de-descriptores-pca


[3] Opencv code with explanation for dimentional reduction
    https://stackoverflow.com/questions/27733002/how-to-use-pca-to-reduce-dimension
[4] Distances http://wwwae.ciemat.es/~cardenas/docs/lessons/MedidasdeDistancia.pdf

Distances

References
[1] http://wwwae.ciemat.es/~cardenas/docs/lessons/MedidasdeDistancia.pdf

Lectures Descriptors & datasets

References:

1) BoW summary https://prateekvjoshi.com/2014/08/17/image-classification-using-bag-of-words-model/

2) https://github.com/constanton/bLDFV



Datasets

0) 2D hela https://ome.grc.nia.nih.gov/iicbu2008/hela/index.html
    2D/3D Hela http://murphylab.web.cmu.edu/data/
1) Biomedical flourcence images
http://mivia.unisa.it/datasets/biomedical-image-datasets/hep2-image-dataset/

2) Microscopic/ Histology, Brain, Retinal and more https://sites.google.com/site/lisaywtang/research/descriptors

3) Other for visualization https://grouplens.org/datasets/movielens/ 

Animes online

Bleach
1) Sub English https://www4.animesubhd.net/watch/episode/subbed/bleach-238/
2) Sub Spanish http://jkanimeonline.com/ver/bleach-226.html

Bag of Features and Texture

Notes

What is the difference between SIFT and Dense SIFT

*SIFT consists of both detection and description while dense sift only uses the descriptor in densely sampled locations [1].

*SIFT identifies interest points using Difference of Gaussian Filtering (DoG) before using Histogram of Oriented Gradients (HOG) to describe these interest points, however Dense-SIFT does not identify interest points, it simply divides the image into overlapping cells before using HOG to describe them. since they both use HOG they both produce 128 dimensional feature vectors [1].

*SIFT is typically computed at interest points. Dense SIFT is computed at every pixel, or every kth pixel. HOG is computed for a rectangular cell array where each cell is usually 8x8 pixels. Dense SIFT and HOG are similar in the sense that they both characterize edginess and orientation around pixels, but the computations are different. Jianxiong Xiao's 2x2 HOG is different than normal HOG. The truth is that once you know how these kinds if features work you can get fancy and histogram them differently, change normalization terms, etc and create your own variant. I spoke with Prof Xiao many times about this when we ovarlapped at MIT [2].

*Firstly, Difference of Gaussians (DoG) can be used for estimating Laplacian of Gaussians (LoG), which are useful for finding edges and blobs. DoG is computationally faster so it is used. Overall, the way in which LoG is used for SIFT and HOG is the fundamental difference between these two feature descriptors. Dense SIFT is exactly as it sounds, SIFT computed densely for every pixel in the image and it helps in image registration, pose estimation, object recognition, etc [2].

Resources

1) BoF imlmentation using SURF, IHOG http://www.cvc.uab.cat/~aldavert/plor/software.html

2) Texture video https://www.youtube.com/watch?v=LQBKIi-Xtbc

3) Textons http://webpages.uncc.edu/~yjaved/publications.html


4) Bag of Visual Words implementation (Functional) http://www.codeproject.com/Articles/619039/Bag-of-Features-Descriptor-on-SIFT-Features-with-O

5) Gabor filters histogram, explanation
    http://stackoverflow.com/questions/20608458/gabor-feature-extraction   
6) Filter Banks, Matlab Source Code
    http://www.robots.ox.ac.uk/~vgg/research/texclass/filters.html

7) Texture classification using textons  http://courses.media.mit.edu/2008fall/mas622j/Projects/NickLoomis/


References
 [1] https://www.researchgate.net/post/What_is_the_difference_between_SIFT_and_Dense_SIFT
 [2] https://www.quora.com/Computer-Vision-Is-there-a-difference-if-any-between-dense-SIFT-and-HOG

Self-Organizing Map (Resources)

Source code:

1) https://www.codeproject.com/Articles/21385/Kohonen-s-Self-Organizing-Maps-in-C-with-Applicati
2) https://www.codeproject.com/Articles/16273/Self-Organizing-Feature-Maps-Kohonen-maps
3) C++ Sample http://mnemstudio.org/neural-networks-som1.htm
4) GHSOM https://github.com/fffaraz/GHSOM-CPP

Yellow dots, Microdots, how to discover

Resources

1) Tutorial http://blog.erratasec.com/2017/06/how-intercept-outed-reality-winner.html
2) DocuColor Tracking Dot Decode Guide https://w2.eff.org/Privacy/printers/docucolor

Programming books

Resources

1) Ansi C http://www3.fi.mdp.edu.ar/electronica/catedras/ddcm/files/The_C_Programming_Language_KandR.pdf

Convert PowerPoint to EPS

When you draw some design and you like to put in your paper

1. Open your design on Powerpoint, then save as .wmf(windows meta file)
2. go to https://cloudconvert.com/anything-to-eps
3. Load you .wmf file and convert to eps
4. Download result

Persian Language

Courses

1) http://www.persianlanguageonline.com/learn/beginner
2) https://persianlanguage.anu.edu.au
3) https://www.nyu.edu/gsas/dept/mideast/virtualpersian/index.html

Fiducial Land Mark (Face Keypoints)

Facial Keypoints
[1] https://github.com/sunsided/facial-keypoints
[2] kaggle https://www.kaggle.com/c/facial-keypoints-detection/data


Resources:
1) Source Code Matlab/C++
http://cmp.felk.cvut.cz/~uricamic/flandmark/

Autodominio

Recursos
1) http://www.ayuda-psicologia.org/2013/12/salirse-siempre-con-la-suya-o-el.html

LBP Descriptor resources

Lectures

Texture descriptor (pt) http://wiki.icmc.usp.br/images/d/d7/Dip10_imagedescription-texture.pdf



Resources

1) 2015 LBP variant library https://github.com/carolinepacheco/lbplibrary
2) University OULU  http://www.cse.oulu.fi/CMV/Downloads/LBPMatlab
3) Upsala University http://www.cb.uu.se/~gustaf/textureDescriptors/

Different kind of Image Medical Datasets

References:
[1] Neuromorph https://datamed.org/repository_list.php
[2] http://neuroangio.org/anatomy-and-variants/anterior-cerebral-artery/

Tools for text to speech

[1] use TensorFlow http://hts.sp.nitech.ac.jp/?Download#zf6c5f7c

Common datasets for image processing and computer vision

Resources:

[1] Hela https://ome.grc.nia.nih.gov/iicbu2008/hela/index.html

OpenCV 2.4 Fix cvCreateGLCM()

Changes for cvCreateGLCM(), see [1] for more details, and [2] has code ready for recompile.

Resources/References:

  [1] http://intercontineo.com/article/723743881/

  [2] https://drive.google.com/open?id=0B8teK-3L4sK2Tll1Y2FyWmNCc3M

Letter/Note fold

Resources:
[1] http://assembleshop.blogspot.com.br/2013/01/crafty-project-junior-high-love-note.html

[2] http://www.origami-instructions.com/origami-square-letter-fold.html

Frasier serie

[1] in torrents http://tudointorrent.com/2015/07/frasier-1-a-8-temporadas/

Machine Learning Resources

 SVM References code
[1] https://www.youtube.com/watch?v=HtdhnGp-m74
Code
[1] iris and others
http://archive.ics.uci.edu/ml/datasets.html
[2] Tutorial code for SVM/NN and DecisionTree
http://breckon.eu/toby/teaching/ml/examples/c++/handwritten_ex/
[3] Adaboost source code
     https://github.com/huneng


People
[1] Sift author https://scholar.google.fr/citations?hl=en&user=PXm1lPAAAAAJ

Visualization Frameworks and tools

Resources:
[1] d3js https://d3js.org
[2] threejs + webgl https://threejs.org/examples/#webgl_interactive_cubes
[3] shadertoy https://www.shadertoy.com/
[4] palette color http://colorbrewer2.org/

About Feature selection

References:
[1] http://machinelearningmastery.com/an-introduction-to-feature-selection/

Como viajar de Perú-Arequipa a Brasil-São Carlos

Técnicamente es posible, e imagino que a mayor experiencia se puede optimizar tanto tiempo como dinero.

Generalmente te colocan solo los puntos y precios, pero hay detalles que aveces te pueden hacer perder tiempo, dinero y la paciencia. Espero esta descripción les pueda ayudar.


Inicio en el terminal terrestre de Arequipa de madrugada un jueves de enero, hay varias empresas de Arequipa-Juliaca, yo usé San Roman (20 Soles) dado que es el mas seguro, aunque demora un poco 4 a 4:30hrs.

Llegando a Juliaca, una moto taxi hacia el "Terminal a Puno" lo mejor es tomar un Omnibus hacia Puno (2 Soles) 1hr. Posteriormente llegando a Puno puedes tomar un Taxi(4 Soles) al "Terminal a Desaguadero", evidentemente tienen su nombre pero asi lo indicas y el taxista comprenderá perfectamente.
Ese terminal es por demanda, es decir bus lleno, bus que parte.

Camino Puno-Desaguadero

De Puno a Desaguadero te cobran 8 Soles sentado, parado 5 Soles y demora unas 3hrs.
Llegando a la frontera: Aquí desembarcas del ómnibus y sigues a la gente, al pasar los segundos veras el puente de frontera y además a los cambistas en unas mesitas pequeñas yo cambie 250 Soles que hacen unos 518 Pesos Bolivianos aquel dia.
Seguidamente te diriges a Migraciones(Perú) donde debes pedir tu hojita  la llenas y haces cola para sellar la salida en tu pasaporte, recomiendo llenarla en la misma fila, ya marcaban casi las 6pm, hora en la que cierran frontera normalmente.

Puente Perú-Bolivia (Vista desde desaguadero)

Cruzas a pie sin problema el puente Perú-Bolivia(Adiciona una hora a tu reloj), es probable que veas policías de Bolivia ni los mires, solo sigue a la gente ni les preguntes nada, yo lo hice y me llevaron adentro a abrir mi maleta y revisar mis cosas estuve 1hr atrapado. Al entrar a territorio boliviano hay dos calles divido por un edificio(migraciones de Bolivia) el control/puesto se encuentra a la izquierda(tu izquierda).  De la misma forma pides tu hojita que es verde en este caso en una ventanilla externa, la fila mas larga esa es para sellar entrada a Bolivia, así que aquí mínimo consumirás unas dos horas(paciencia).
Luego sigues en la misma dirección que ingresaste a territorio boliviano y notaras unas combis hacia la Paz,  ellos te cobran 15Bs y demora unas 2hrs.

En la Paz, es posible tomar un bus hacia Santa Cruz directo o en dos tramos, aveces por el horario no encuentras, yo lo hice en dos tramos. Tomé el bus a Cochabamba(Empresa El Dorado) que salia a las 10:00pm y demoraba 8hrs a 40Bs o 70Bs, depende del servicio. Yo tomé la segunda opción, sin embargo dada la comodidad de los ómnibus la próxima vez, tomare el de 40Bs por solo 8 horas no compensa mucho pagar casi el doble.

Ya en el terminal de Cochabamba, me sorprendí ver un cajero BCP, espero funcione me quedé con las ganas de usarlo, salí del terminal a tomar desayuno un Café, Pan y Queso, literalmente es eso (es decir el queso no viene dentro del Pan) a 10Bs. Dentro del terminal hay varias empresas que van a Santa Cruz desde 70Bs+2.5Bs por uso de Terminal, demora unas 10hrs. Partí como a las 7:15am(Ojo con el horario del terminal). Y es normal hacer parada en algún restaurante a la hora del almuerzo.

Durante el camino a Santa Cruz notaras el paisaje selvático, además de los controles policiales bajaras unas dos veces(control antidrogas). Una vez llegues al terminal notarás que es absolutamente desordenado e informal sin mencionar la calor(Enero). Hay gente que toma el tren de la muerte hacia Quijarro, en mi caso cuando llegué un Viernes el tren ya había salido a la 1pm, así que decido tomar otro ómnibus que demora unas 9hrs y cuesta 80Bs hasta Quijarro.

Horario Tren

Al llegar a Quijarro 6-7am(en Puerto Suarez), debes tomar un taxi/colectivo hacia la frontera (10 Bs), llegando vi una fila larga en migraciones del lado de Bolivia, entonces decidí caminar en el mismo sentido del puente limite en busca de las empresas de ómnibus Andorinha que hacen ruta directa Frontera-São Paulo, lo que no vi fueron unos letreros de duchas, cuando llegué no me fije y fui a un hotel 60Bs y me quedé un día en frontera(Esto fue el sábado). Si hubiera visto las duchas hacia lo propio y continuaba(para la próxima).
Una vez dormido por la mañana almorcé y fui a frontera a ver que tal estaba la fila como a las 4pm, y aún tenia tiempo por que cierran a las 5pm, hice poner el sello y solo me faltaba pasar la noche y al día siguiente cruzar la frontera.

Yo nunca imaginé que podías marcar entrada de Bolivia e ingreso a Brasil y aún así dormir en Bolivia, es decir regresar a territorio de donde ya saliste(para la próxima).

Quijarro - Frontera Bolivia-Brasil

Debí levantarme a las 5am(Domingo) para formar fila, pero fui a las 7am y las consecuencias fueron 8hrs en frontera para registrar mi ingreso a Brasil + 3 botellas de agua 15Bs (5Bs/botella) y el tráfico de fila, no hable con nadie aprovechan el dialogo para meter gente lo cual extiende la fila previa a ti.


Cruzando la frontera hay un ómnibus que pasa casi a cada 45min a 3.25R, yo tomé el de las 4pm(para que se hagan idea lo que demoré). Ese bus llega a un terminal local y tienes que hacer trasbordo a otro(Cristo Redentor) que es el que te lleva al Terminal de Corumbá(sin pagar nada adicional), ya en el Terminal de Corumbá puedes usar tu cartón del Banco de Brasil si tuvieses para pagar. Intenta no comprar nada; gasté 17R en 2 salteñas(salgados) y una Fanta.

Entonces aquí ya puedes comprar tu boleto hacia Campo Grande, irónicamente la empresa dominante es Andorinha, consulta [1] para los horarios.  Costo de viaje 114R y salia a las 18.30pm con una demora de 9hrs. El  Terminal Rodoviario de Campo grande es agradable similar a un aeropuerto, muy bueno desde mi punto de vista hasta dormí en la bancas, no había remedio atienden desde las 5 o 6am, compré mi ticket de Campo Grande a São José de Rio Preto para las 8am a 134R con un tiempo de 11hrs de viaje. En este tramo subirán los de la Policía Federal dos veces y te preguntarán de donde vienes? a donde te diriges? por que? etc, etc.

Finalmente en el terminal de Rio Preto un lugar con mucha antigüedad, compré un ticket a São Carlos para las 11.45pm a 60R y por fin las últimas 4hrs.

Llegando a São Carlos a las 4am un amigo me recogió, aunque a esa hora ya hay bastante gente y puedes esperar a clarear para usar el transporte local también.


Referencias:

1. Andorinha (Corumbá-Campo Grande) Horarios http://www.andorinha.com/sa/
2. Cometa http://www.viacaocometa.com.br/es/
3. Cruz http://www.empresacruz.com.br/
4. Búsqueda por sistema:
   4.1 https://www.buscaonibus.com.br/horario/sao-carlos/sao-jose-do-rio-preto
   4.2 https://www.guichevirtual.com.br/sao-carlos-sp-v-aracatuba-sp