Videos tagged with Computer Science


Algorithmic and Combinatorial Foundations of Pattern Discovery

Algorithmic and Combinatorial Foundations of Pattern Discovery

Posted in Science

Lecture slides:Monotony and Surprise Algorithmic and Combinatorial Foundations of Pattern Discovery http://www.cc.gatech.edu/~axa/papers A) Specialihttp://www.cc.gatech.edu/~axa/papers B) Introductory Material Acknowledgements Gill Bejerano Form \x3D FunctionTITLEBioinformatics the Road AheadAt a joint EU \x2D US panel meetingWhich Information AnywayKing Phillip Came Over For Green SoupThe “Chi...

Tags: Science, Lectures, Computer Science, Machine Learning, VideoLectures.Net, Pattern Recognition



Suffix tree and Hidden Markov techniques for pattern analysis

Suffix tree and Hidden Markov techniques for pattern analysis

Posted in Science

Suffix tree construction. Mention the new linear time array constructions - - using suffix trees for finding motifs with gaps (some new observations: 0.5 - 1 hours). - finding cis-regulatory motifs by comparative genomics (1 hour) - Hidden Markov techniques for haplotypingAuthor: Esko Ukkonen, University Of Helsinki

Tags: Science, Lectures, Computer Science, Machine Learning, VideoLectures.Net, Markov Processes, Pattern Recognition


Statistical Aspects of Pattern Analysis

Statistical Aspects of Pattern Analysis

Posted in Science

Abstract: The lectures will introduce the role of statistics in pattern analysis with a discussion of the difference between pattern significance and pattern stability. We will go on to discuss composite hypothesis testing and the Bonferroni correction. Concentration inequalities will be introduced and used to assess the statistical reliability of empirical estimates. We move to consider unifor...

Tags: Science, Lectures, Computer Science, Machine Learning, VideoLectures.Net, Pattern Recognition


Fast Best-Effort Pattern Matching in Large Attributed Graphs

Fast Best-Effort Pattern Matching in Large Attributed Graphs

Posted in Science

We focus on large graphs where nodes have attributes, such as a social network where the nodes are labelled with each person’s job title. In such a setting, we want to find subgraphs that match a user query pattern. For example, a ‘star’ query would be, “find a CEO who has strong interactions with a Manager, a Lawyer, and an Accountant, or another structure as close to that as possible”. Simila...

Tags: Science, Lectures, Computer Science, Machine Learning, VideoLectures.Net, Pattern Recognition




A general purpose segmentation algorithm using analytically evaluated random walks

A general purpose segmentation algorithm using analytically evaluated random walks

Posted in Science

An ideal segmentation algorithm could be applied equally to the problem of isolating organs in a medical volume or to editing a digital photograph without modifying the algorithm, changing parameters, or sacrificing segmentation quality. However, a general-purpose, multiway segmentation of objects in an image/volume remains a challenging problem. In this talk, I will describe a recently develop...

Tags: Science, Lectures, Computer Science, Data Mining, Machine Learning, VideoLectures.Net, Pattern Recognition



Trajectory Pattern Mining

Trajectory Pattern Mining

Posted in Science

The increasing pervasiveness of location-acquisition technologies (GPS, GSM networks, etc.) is leading to the collection of large spatio-temporal datasets and to the opportunity of discovering usable knowledge about movement behaviour, which fosters novel applications and services. In this paper, we move towards this direction and develop an extension of the sequential pattern mining paradigm t...

Tags: Science, Lectures, Computer Science, Machine Learning, VideoLectures.Net, Pattern Recognition


Pattern Classification and Large Margin Classifiers

Pattern Classification and Large Margin Classifiers

Posted in Science

These lectures will provide an introduction to the theory of pattern classification methods. They will focus on relationships between the minimax performance of a learning system and its complexity. There will be four lectures. The first will review the formulation of the pattern classification problem, and several popular pattern classification methods, and present general risk bounds in terms...

Tags: Science, Lectures, Computer Science, Machine Learning, VideoLectures.Net, Pattern Recognition


Graphical Models for Structural Pattern Recognition

Graphical Models for Structural Pattern Recognition

Posted in Science

In the "structural" paradigm for visual pattern recognition, or what some call "strong" pattern recognition, one is not satisfied with simply assigning a class label to an input object, but instead we aim at finding exactly which parts of the template object correspond to which parts of the scene. This is a much harder problem in principle, because it is inherently combinatorial on the number o...

Tags: Science, Lectures, Computer Science, Machine Learning, VideoLectures.Net, Graphical Models, Pattern Recognition