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» Receptive Field Structures for Recognition
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84
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ICPR
2002
IEEE
15 years 11 months ago
Relational Graph Labelling Using Learning Techniques and Markov Random Fields
This paper introduces an approach for handling complex labelling problems driven by local constraints. The purpose is illustrated by two applications: detection of the road networ...
Denis Rivière, Jean-Francois Mangin, Jean-M...
73
Voted
CSIE
2009
IEEE
15 years 5 months ago
Discriminative Random Fields for Behavior Modeling
This paper proposed an approach of human behavior modeling based on Discriminative Random Fields. In this model, by introducing the hidden behavior feature functions and time wind...
Tianyu Huang, Chongde Shi, Fengxia Li
110
Voted
PAMI
2011
14 years 1 months ago
Hidden Part Models for Human Action Recognition: Probabilistic versus Max Margin
—We present a discriminative part-based approach for human action recognition from video sequences using motion features. Our model is based on the recently proposed hidden condi...
Yang Wang 0003, Greg Mori
90
Voted
HIS
2008
14 years 11 months ago
A Sequential Learning Resource Allocation Network for Image Processing Applications
Online adaptation is a key requirement for image processing applications when used in dynamic environments. In contrast to batch learning, where retraining is required each time a...
Stefan Wildermann, Jürgen Teich
79
Voted
JCNS
2000
120views more  JCNS 2000»
14 years 10 months ago
Robust Spectrotemporal Reverse Correlation for the Auditory System: Optimizing Stimulus Design
Abstract. The spectrotemporal receptive field (STRF) is a functional descriptor of the linear processing of timevarying acoustic spectra by the auditory system. By cross-correlatin...
David J. Klein, Didier A. Depireux, Jonathan Z. Si...