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» Discriminative Word Alignment with Conditional Random Fields
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ICPR
2010
IEEE
13 years 10 months ago
Efficient Learning to Label Images
Conditional random field methods (CRFs) have gained popularity for image labeling tasks in recent years. In this paper, we describe an alternative discriminative approach, by exte...
Ke Jia, Li Cheng, Nianjun Liu, Lei Wang
PAMI
2008
119views more  PAMI 2008»
13 years 6 months ago
Triplet Markov Fields for the Classification of Complex Structure Data
We address the issue of classifying complex data. We focus on three main sources of complexity, namely, the high dimensionality of the observed data, the dependencies between these...
Juliette Blanchet, Florence Forbes
ICAT
2003
IEEE
14 years 4 hour ago
All in-Focus View Synthesis from Under-Sampled Light Fields
Light field rendering (LFR) is a fundamental method for generating new views from a set of pre-acquired images. We use densely-aligned cameras for the process of acquiring the se...
Keita Takahashi, Akira Kubota, Takeshi Naemura
ICML
2003
IEEE
14 years 7 months ago
Hidden Markov Support Vector Machines
This paper presents a novel discriminative learning technique for label sequences based on a combination of the two most successful learning algorithms, Support Vector Machines an...
Yasemin Altun, Ioannis Tsochantaridis, Thomas Hofm...
TASLP
2008
115views more  TASLP 2008»
13 years 6 months ago
Recognition of Dialogue Acts in Multiparty Meetings Using a Switching DBN
Abstract--This paper is concerned with the automatic recognition of dialogue acts (DAs) in multiparty conversational speech. We present a joint generative model for DA recognition ...
Alfred Dielmann, Steve Renals