Conditional random field

Known as: Conditional random fields, Discriminative probabilistic latent variable model 
Conditional random fields (CRFs) are a class of statistical modelling method often applied in pattern recognition and machine learning, where they… (More)
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Topic mentions per year

Topic mentions per year

1992-2017
020040019922017

Papers overview

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Highly Cited
2015
Highly Cited
2015
Pixel-level labelling tasks, such as semantic segmentation, play a central role in image understanding. Recent approaches have… (More)
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Highly Cited
2008
Highly Cited
2008
Discriminative feature-based methods are widely used in natural language processing, but sentence parsing is still dominated by… (More)
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Highly Cited
2007
Highly Cited
2007
We present a discriminative latent variable model for classification problems in structured domains where inputs can be… (More)
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Highly Cited
2007
Highly Cited
2007
State-of-the-art stereo vision algorithms utilize color changes as important cues for object boundaries. Most methods impose… (More)
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Highly Cited
2006
Highly Cited
2006
In this paper, we describe a Chinese word segmentation system that we developed for the Third SIGHAN Chinese Language Processing… (More)
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Highly Cited
2005
Highly Cited
2005
We present a Chinese word segmentation system submitted to the closed track of Sighan bakeoff 2005. Our segmenter was built using… (More)
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Highly Cited
2004
Highly Cited
2004
We propose an approach to include contextual features for labeling images, in which each pixel is assigned to one of a finite set… (More)
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Highly Cited
2004
Highly Cited
2004
We present a discriminative part-based approach for the recognition of object classes from unsegmented cluttered scenes. Objects… (More)
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Highly Cited
2003
Highly Cited
2003
Conditional random fields for sequence labeling offer advantages over both generative models like HMMs and classifiers applied at… (More)
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Highly Cited
2001
Highly Cited
2001
We present conditional random fields , a framework for building probabilistic models to segment and label sequence data… (More)
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