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ICIAP
2009
ACM
14 years 4 months ago
A New Generative Feature Set Based on Entropy Distance for Discriminative Classification
Abstract. Score functions induced by generative models extract fixeddimensions feature vectors from different-length data observations by subsuming the process of data generation, ...
Alessandro Perina, Marco Cristani, Umberto Castell...
CLOR
2006
13 years 8 months ago
Comparison of Generative and Discriminative Techniques for Object Detection and Classification
Many approaches to object recognition are founded on probability theory, and can be broadly characterized as either generative or discriminative according to whether or not the dis...
Ilkay Ulusoy, Christopher M. Bishop
METMBS
2004
140views Mathematics» more  METMBS 2004»
13 years 5 months ago
New Techniques for Generation and Analysis of Evolutionary Trees
We introduce new distance measures for the construction and analysis of phylogenies, focusing on thioredoxin-fold proteins. Our distance measures for tree construction are based o...
Chang Wang, Stephen D. Scott, Qingping Tao, Dmitri...
JMLR
2010
185views more  JMLR 2010»
12 years 11 months ago
Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers
We introduce a simple order-based greedy heuristic for learning discriminative structure within generative Bayesian network classifiers. We propose two methods for establishing an...
Franz Pernkopf, Jeff A. Bilmes
CVPR
2005
IEEE
14 years 6 months ago
Generative versus Discriminative Methods for Object Recognition
Many approaches to object recognition are founded on probability theory, and can be broadly characterized as either generative or discriminative according to whether or not the di...
Ilkay Ulusoy, Christopher M. Bishop