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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… 
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Related topics

Related topics

17 relations
Conditional random fieldDeep learningGene predictionGeneralized linear model

Broader (1)

Machine learning

Papers overview

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Highly Cited
2019
Highly Cited
2019
Learning Discriminative Model Prediction for Tracking
The current strive towards end-to-end trainable computer vision systems imposes major challenges for the task of visual tracking… 
Highly Cited
2017
Highly Cited
2017
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models
This paper provides a unified account of two schools of thinking in information retrieval modelling: the generative retrieval… 
Highly Cited
2016
Highly Cited
2016
Discriminative Embeddings of Latent Variable Models for Structured Data
Kernel classifiers and regressors designed for structured data, such as sequences, trees and graphs, have significantly advanced… 
Highly Cited
2013
Highly Cited
2013
Robust Discriminative Response Map Fitting with Constrained Local Models
We present a novel discriminative regression based approach for the Constrained Local Models (CLMs) framework, referred to as the… 
Highly Cited
2011
Highly Cited
2011
Person Re-identification by Descriptive and Discriminative Classification
Person re-identification, i.e., recognizing a single person across spatially disjoint cameras, is an important task in visual… 
Highly Cited
2010
Highly Cited
2010
Face Liveness Detection from a Single Image with Sparse Low Rank Bilinear Discriminative Model
Spoofing with photograph or video is one of the most common manner to circumvent a face recognition system. In this paper, we… 
Highly Cited
2008
Highly Cited
2008
A discriminatively trained, multiscale, deformable part model
This paper describes a discriminatively trained, multiscale, deformable part model for object detection. Our system achieves a… 
Highly Cited
2008
Highly Cited
2008
Discriminative learned dictionaries for local image analysis
Sparse signal models have been the focus of much recent research, leading to (or improving upon) state-of-the-art results in… 
Highly Cited
2004
Highly Cited
2004
Discriminative Methods for Multi-labeled Classification
In this paper we present methods of enhancing existing discriminative classifiers for multi-labeled predictions. Discriminative… 
Highly Cited
2002
Highly Cited
2002
Discriminative Probabilistic Models for Relational Data
In many supervised learning tasks, the entities to be labeled are related to each other in complex ways and their labels are not… 
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