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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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2020
2020
Robust multi-kernelized correlators for UAV tracking with adaptive context analysis and dynamic weighted filters
In recent years, the correlation filter (CF)-based method has significantly advanced in the tracking for unmanned aerial vehicles… 
2014
2014
Learning Scalable Discriminative Dictionary with Sample Relatedness
Attributes are widely used as mid-level descriptors of object properties in object recognition and retrieval. Mostly, such… 
2014
2014
Some Faces are More Equal than Others: Hierarchical Organization for Accurate and Efficient Large-Scale Identity-Based Face Retrieval
This paper presents a novel method for hierarchically organizing large face databases, with application to efficient identity… 
2013
2013
Learning Phrase Patterns for Text Classification
This paper introduces methods to discriminatively learn phrase patterns for use as features in text classification. An efficient… 
2012
2012
Discriminative Zernike and Pseudo Zernike Moments for Face Recognition
Usually magnitude coefficients of some selected orders of ZMs and PZMs have been used as invariant image features. The careful… 
Review
2010
Review
2010
Automated assessment of ESOL free text examinations
In this report, we consider the task of automated assessment of English as a Second Language (ESOL) examination scripts written… 
Highly Cited
2007
Highly Cited
2007
Substring-Based Transliteration
Transliteration is the task of converting a word from one alphabetic script to another. We present a novel, substring-based… 
2005
2005
Segment-based phonetic class detection using minimum verification error (MVE) training
In this paper, we investigate the performance of segment-based detectors for three taxonomic sets of acoustic-phonetic classes… 
1998
1998
Vocabulary-independent word confidence measure using subword features
This paper discusses how to compute word-level confidence measures based on sub-word features for large-vocabulary speaker… 
1991
1991
Measuring recognition performance using computer-based and paper-based methods
Using a within-subjects design, we administered to 83 naval pilots and flight officers computer-based and paper-based tests to…