Probability
Fundamentals
Vinay P. Namboodiri
Problem 1: How to
detect skin?
Example
Question: How to
solve?
First approach
Sample skin points
Set lower and higher threshold ranges for skin
Threshold the image and obtain the result
Problem: Thresholds do n
A Tutorial on Data
Reduction
Linear Discriminant
Analysis (LDA)
Aly A. Farag
Shireen Y. Elhabian
CVIP Lab
University of Louisville
www.cvip.uofl.edu
October 2, 2008
Outline
LDA objective
Recall PCA
Now LDA
LDA Two Classes
Counter example
LDA C Class
A TUTORIAL ON PRINCIPAL COMPONENT ANALYSIS
Derivation, Discussion and Singular Value Decomposition
Jon Shlens  jonshlens@ucsd.edu
25 March 2003  Version 1
the assumptions behind this technique as well as possible extensions to overcome these limitations
Machine Learning Techniques in Spam Filtering
Konstantin Tretyakov, kt@ut.ee
Institute of Computer Science, University of Tartu
Data Mining Problemoriented Seminar, MTAT.03.177,
May 2004, pp. 6079.
Abstract
The article gives an overview of some of the m
Applications of Machine Learning in Dota 2:
Literature Review and Practical Knowledge
Sharing
Aleksandr Semenov1 , Peter Romov2,3 , Kirill Neklyudov2,3 , Daniil Yashkov2,3 ,
and Daniil Kireev4
1
International Laboratory for Applied Network Research,
Natio
Learning and
Inference
CS 679
Story so far
Probability Basics (What is probability, probability
distribution, marginal and conditional distribution,
discrete and continuous variables)
Bayes rule
Probability distributions
Fitting Probability distributions
Logistic Regression
In
this lecture
The
idea
of
we
go
logistic
on
to
discuss
regression
logistic regression
can
also
be
related
to the
basic
of
model
neural
networks
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gig
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main
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used
.
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,
.
.
Fitting Probability
Models
CS679
Previous Class:
Probability Distributions
3
Computer vision: models, learning and inference. 2011 Simon J.D. Prince
Why model these complicated
quantities?
Because we need probability distributions over model parameters as
Probability
Distributions
CS 679
Previous Class
Joint Probability
Consider two random variables x and y
If we observe multiple paired instances, then some
combinations of outcomes are more likely than
others
This is captured in the joint probability
di
Practical Implementation of PCA
on Satellite Images
Image Corresponding to First PC
R Band image after
applying PCA does not
carry any significant
information about the
region. It can be
neglected for increasing
classification accuracy.
Image Correspondin