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CVPR
2006
IEEE
16 years 2 months ago
Principled Hybrids of Generative and Discriminative Models
When labelled training data is plentiful, discriminative techniques are widely used since they give excellent generalization performance. However, for large-scale applications suc...
Julia A. Lasserre, Christopher M. Bishop, Thomas P...
CVPR
2006
IEEE
16 years 2 months ago
Aligning ASL for Statistical Translation Using a Discriminative Word Model
We describe a method to align ASL video subtitles with a closed-caption transcript. Our alignments are partial, based on spotting words within the video sequence, which consists o...
Ali Farhadi, David A. Forsyth
DAGM
2005
Springer
15 years 6 months ago
Improving a Discriminative Approach to Object Recognition Using Image Patches
In this paper we extend a method that uses image patch histograms and discriminative training to recognize objects in cluttered scenes. The method generalizes and performs well for...
Thomas Deselaers, Daniel Keysers, Hermann Ney
SSPR
2010
Springer
14 years 10 months ago
Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
André F. T. Martins, Manuele Bicego, Vittor...
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AUSAI
2008
Springer
15 years 2 months ago
Learning Object Representations Using Sequential Patterns
This paper explores the use of alternating sequential patterns of local features and saccading actions to learn robust and compact object representations. The temporal encoding rep...
Nobuyuki Morioka