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» A Framework for Multiple-Instance Learning
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NAACL
2010
13 years 7 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...
ECCV
2004
Springer
14 years 11 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
14 years 10 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
14 years 3 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
ESOP
2010
Springer
14 years 18 days 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