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» A Framework for Multiple-Instance Learning
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229
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NAACL
2010
15 years 1 months ago
Discriminative Learning over Constrained Latent Representations
This paper proposes a general learning framework for a class of problems that require learning over latent intermediate representations. Many natural language processing (NLP) dec...
Ming-Wei Chang, Dan Goldwasser, Dan Roth, Vivek Sr...
171
Voted
ECCV
2004
Springer
16 years 5 months ago
A Bayesian Framework for Multi-cue 3D Object Tracking
This paper presents a Bayesian framework for multi-cue 3D object tracking of deformable objects. The proposed spatio-temporal object representation involves a set of distinct linea...
Jan Giebel, Dariu Gavrila, Christoph Schnörr
WWW
2008
ACM
16 years 4 months ago
A unified framework for name disambiguation
Name ambiguity problem has been a challenging issue for a long history. In this paper, we intend to make a thorough investigation of the whole problem. Specifically, we formalize ...
Jie Tang, Jing Zhang, Duo Zhang, Juanzi Li
ICCPOL
2009
Springer
15 years 10 months ago
Lexicalized Syntactic Reordering Framework for Word Alignment and Machine Translation
Abstract. We propose a lexicalized syntactic reordering framework for crosslanguage word aligning and translating researches. In this framework, we first flatten hierarchical sourc...
Chung-Chi Huang, Wei-Teh Chen, Jason S. Chang
140
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ESOP
2010
Springer
15 years 6 months ago
A Semantic Framework for Declassification and Endorsement
Language-based information flow methods offer a principled way to enforce strong security properties, but enforcing noninterference is too inflexible for realistic applications. Se...
Aslan Askarov, Andrew Myers