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Discriminative model

Known as: Conditional model 
Discriminative models, also called conditional models, are a class of models used in machine learning for modeling the dependence of an unobserved… Expand
Wikipedia

Papers overview

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Review
2018
Review
2018
We present a content-based method for recommending citations in an academic paper draft. We embed a given query document into a… Expand
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Highly Cited
2011
Highly Cited
2011
Person re-identification, i.e., recognizing a single person across spatially disjoint cameras, is an important task in visual… Expand
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Highly Cited
2008
Highly Cited
2008
This paper describes a discriminatively trained, multiscale, deformable part model for object detection. Our system achieves a… Expand
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Highly Cited
2008
Highly Cited
2008
Sparse signal models have been the focus of much recent research, leading to (or improving upon) state-of-the-art results in… Expand
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Highly Cited
2006
Highly Cited
2006
When labelled training data is plentiful, discriminative techniques are widely used since they give excellent generalization… Expand
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Highly Cited
2005
Highly Cited
2005
This article considers approaches which rerank the output of an existing probabilistic parser. The base parser produces a set of… Expand
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Highly Cited
2004
Highly Cited
2004
In this paper we present methods of enhancing existing discriminative classifiers for multi-labeled predictions. Discriminative… Expand
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Highly Cited
2004
Highly Cited
2004
Discriminative models have been preferred over generative models in many machine learning problems in the recent past owing to… Expand
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Highly Cited
2003
Highly Cited
2003
  • S. Kumar, M. Hebert
  • Proceedings Ninth IEEE International Conference…
  • 2003
  • Corpus ID: 10689850
In this work we present discriminative random fields (DRFs), a discriminative framework for the classification of image regions… Expand
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Highly Cited
2002
Highly Cited
2002
In many supervised learning tasks, the entities to be labeled are related to each other in complex ways and their labels are not… Expand
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