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 t
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
A TUTORIAL ON PRINCIPAL COMPONENT ANALYSIS
Derivation, Discussion and Singular Value Decomposition
Jon Shlens  [email protected]
25 March 2003  Version 1
the assumptions behind this technique as we
Online Submission ID: 45678
Effects of Shape and Material Stylization on the Perception of
ComputerGenerated Faces
Figure 1: Examples of the stimuli used for the experiments. We explore the influence
EUROGRAPHICS 2015/ B. Bickel and T. Ritschel
Short Paper
Tracking Attractiveness: Important Body Parts for Attractive
and Distinctive Motion
Cathy Ennis1
Ludovic Hoyet 1
1 Trinity
Carol OSullivan1,2
C
PROJECT POPULATE:
LEVEL DESIGN
Image credit : Espen Olsen Saetervik ; 2014
This document is strictly for internal use. Do not reproduce or distribute to anyone outside of th
project.
Table of contents
The Trinity Education Project
Newsletter
renew
refresh
independence
graduate attributes
Dear Colleagues
As the new academic year begins, I would like to update you on the Trinity Education Project.
Th
1
Setion 1: Knowledge
1.1 Compare and ontrast Roberts, Sobel, Compass and Laplaian of Gaussian and
Canny edge detetors. Ensure that you inlude desriptions of the edge detetors. Desribe an appliation w
Machine Learning Techniques in Spam Filtering
Konstantin Tretyakov, [email protected]
Institute of Computer Science, University of Tartu
Data Mining Problemoriented Seminar, MTAT.03.177,
May 2004, pp. 6079.
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
Inter
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
Proba
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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d
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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
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 th
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