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Št. zadetkov: 12
Pattern Analysis with Graphs and Trees
Edwin Hancock
Video in druga učna gradiva
Oznake: computer science;machine learning;pattern recognition
Spectral representations of graphs, Pattern spaces from graph spectra, Spectral approaches to matching, Heat kernel methods Probabilistic and spectral methods for graph matching and clustering. Applications in computer vision.
Leto: 2005 Vir: videolectures.net
Introduction
Edwin Hancock
Video in druga učna gradiva
Oznake: computer science
Leto: 2012 Vir: videolectures.net
Graph Spectral Image Smoothing
Edwin Hancock
Video in druga učna gradiva
Oznake: computer science;image analysis
A new method for smoothing both gray-scale and color images is presented that relies on the heat diffusion equation on a graph. We represent the image pixel lattice using a weighted undirected graph. The edge weights of the graph are determined by the Gaussian weighted distances between local neighb ...
Leto: 2007 Vir: videolectures.net
Learning with spectral representations and use of MDL principles
Edwin Hancock
Video in druga učna gradiva
Oznake: computer science;machine learning;pattern recognition;preprocessing
Leto: 2007 Vir: videolectures.net
Probabilistic Relaxation Labeling by Fokker-Planck Diffusion on a Graph
Edwin Hancock
Video in druga učna gradiva
Oznake: computer science;machine learning;structured data
In this paper we develop a new formulation of probabilistic relaxation labeling for the task of data classification using the theory of diffusion processes on graphs. The state space of our process as the nodes of a support graph which represent potential object-label assignments. The edge-weights o ...
Leto: 2007 Vir: videolectures.net
An Information Theoretic Approach to Learning Generative Graph Prototypes
Edwin Hancock
Video in druga učna gradiva
Oznake: mathematics;graph theory
We present a method for constructing a generative model for sets of graphs by adopting a minimum description length approach. The method is posed in terms of learning a generative supergraph model from which the new samples can be obtained by an appropriate sampling mechanism. We commence by constru ...
Leto: 2011 Vir: videolectures.net
Graph Embedding using an Edge-Based Wave Kernel
Edwin Hancock
Video in druga učna gradiva
Oznake: computer science;pattern recognition
Leto: 2010 Vir: videolectures.net
Generative Models for Relational Structures
Edwin Hancock
Video in druga učna gradiva
Oznake: computer science;pattern recognition
We present a method for constructing a generative model for sets of graphs by adopting a minimum description length approach. The method is posed in terms of learning a generative supergraph model from which the new samples can be obtained by Gibbs sampling. We commence by constructing a probability ...
Leto: 2010 Vir: videolectures.net
Ihara Coeficients: A Flexible Tool for Higher Order Learning
Edwin Hancock
Video in druga učna gradiva
Oznake: computer science;pattern recognition
Leto: 2010 Vir: videolectures.net
Mining Exemplars for Object Recognition using Affinity Propagation
Edwin Hancock
Video in druga učna gradiva
Oznake: computer science;pattern recognition
Leto: 2010 Vir: videolectures.net
Št. zadetkov: 12
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