Ubuntu 14 Lamp

https://www.godaddy.com/help/build-a-lamp-stack-linux-apache-mysql-php-ubuntu-14-17341
https://www.howtoforge.com/ubuntu-lamp-server-with-apache2-php5-mysql-on-14.04-lts
https://styde.net/como-instalar-lamp-en-ubuntu-linux/
https://www.digitalocean.com/community/tutorials/como-instalar-linux-apache-mysql-php-lamp-en-ubuntu-14-04-es
https://www.digitalocean.com/community/tutorials/how-to-install-lamp-on-ubuntu-14-04-quickstart

Update kernel to the latest mainline version without any Distro-upgrade?

To find out which kernel you have type uname -rin terminal.Now type this command to get list of available kernels.

apt-cache search linux-image

this will give you a very big output.Now chose one of them that you want to install and install it by following commands(Don't type these commands like this,replace the word kernal_version with the kernel version which you wish to install)

sudo apt-get install linux-image-kernal_version
sudo apt-get install linux-image-extra-kernal_version
sudo apt-get install linux-headers-kernal_version

Now in my case i choose linux-image-4.10.0-22-generic so my command will look like this

sudo apt-get install linux-image-4.10.0-22-generic 
sudo apt-get install linux-image-extra-4.10.0-22-generic
sudo apt-get install linux-headers-4.10.0-22-generic

now in the end remove old kernel by command

sudo apt-get autoremove

sudo reboot

Related to Certificates

Generate a CSR
https://www.digitalocean.com/community/questions/how-do-i-generate-a-csr-key

Create the self-signed certificate
https://help.ubuntu.com/lts/serverguide/certificates-and-security.html

Create thrid certificate using CSR
https://ssl.comodo.com/free-ssl-certificate.php
https://support.comodo.com/index.php?/comodo/Knowledgebase/Article/View/637/66/

Aditional information
https://www.ssl2buy.com/ssl-certificate-google-rankings
https://www.elegantthemes.com/blog/tips-tricks/how-to-get-a-free-ssl-certificate-and-why-google-is-forcing-you-to

Ubuntu 14 install sSMTP

Ubuntu
1.1) Install sSMTP

$sudo apt-get install ssmtp
$sudo vi /etc/ssmtp/ssmtp.conf  #add or set

root=username@gmail.com
mailhub=smtp.gmail.com:587
rewriteDomain=
hostname=fileserver.local
UseSTARTTLS=YES
AuthUser=username
AuthPass=password
FromLineOverride=YES
sudo vi /etc/ssmtp/revaliases
root:username@gmail.com:smtp.gmail.com:587
youruser:username@gmail.com:smtp.gmail.com:587

1.2) How to use

$ssmtp recipient_email@example.com  #sSMTP will then wait for:
To: recipient_email@example.com
From: myemailaddress@gmail.com
Subject: test email

hello world!
#press Ctrl-D for send the message before closing.

$ssmtp myemailaddress@gmail.com < msg.txt

To: myemailaddress@gmail.com
From: myemailaddress@gmail.com
Subject: alert

The server is down!

1.3) Alternative to use

$sudo apt-get install heirloom-mailx -y
$echo testing|mail -s 'Test Mail' Insert email address to send to here


References:
[1]  http://tombuntu.com/index.php/2008/10/21/sending-email-from-your-system-with-ssmtp/

Fedora/CentOs
[2.1] postfix https://kifarunix.com/configure-postfix-as-send-only-smtp-server-on-fedora-29/
[2.2] sendmail https://tecadmin.net/install-sendmail-on-fedora/

Mono Develop on Ubuntu 14

#monodevelop 4

sudo apt-get install monodevelop

#upgrade to monodevelop 5

sudo apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-keys 3FA7E0328081BFF6A14DA29AA6A19B38D3D831EF
echo "deb http://download.mono-project.com/repo/debian wheezy main" | sudo tee /etc/apt/sources.list.d/mono-xamarin.list
sudo apt-get update
sudo apt-get install monodevelop

References:

[1] Monodevelop versions https://download.mono-project.com/archive/

Old PostgreSql for Windows

References:
[1] https://postgrespro.com/windows

Ubuntu 14 virtualize

Virtual box

$uname -a
$apt-get upgrade #for update kernel
$apt-get install virtualbox

Dependences
[1] https://www.virtualbox.org/wiki/Download_Old_Builds_4_3

Bajaj Avenger 220 Especificaciones

Motor

Desplazamiento (cc)

219.89

A Partir

Eléctrica

Max. De alimentación (PS rpm)

19,03 @ 8400

Max. Torque (Nm @ rpm)

17.5 @ 7000

Tipo

4 tiempos, monocilíndrico, DTS-i, refrigerado por aire con el refrigerador de aceite

Frenos

Frente

Disco, Dia. 260 mm

Trasero

Tambor, Dia. 130 mm

Suspensión

Frente

Telescópico

Trasero

Amortiguador hidráulico

Electrónica

Cabeza de la lámpara

60 / 55W

Cuerno

12V, 30W

Batería

12V, 9Ah

Tiro

Frente

Con cámara unidireccional - 90 / 90 x 17 "

Trasero

Con cámara unidireccional - 130/90 x 15 "

Depósito de combustible

Total de litros (reserva, utilizable)

14 litros completo (3.4 litros de reserva)

Dimensiones

Separación de tierra

169 mm

Peso en orden de marcha

154,5 kg

Distancia entre ejes

1475 mm

 Referencias:
[1] https://en.wikipedia.org/wiki/Bajaj_Avenger
[2] https://www.globalbajaj.com/mexico/spanish/motocicletas/motorcycles/avenger/avenger-street-220/especificaci%C3%B3n/

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