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NIPS
1997
15 years 5 months ago
Graph Matching with Hierarchical Discrete Relaxation
Our aim in this paper is to develop a Bayesian framework for matching hierarchical relational models. Such models are widespread in computer vision. The framework that we adopt fo...
Richard C. Wilson, Edwin R. Hancock
COLING
2010
14 years 11 months ago
Learning Phrase Boundaries for Hierarchical Phrase-based Translation
Hierarchical phrase-based models provide a powerful mechanism to capture non-local phrase reorderings for statistical machine translation (SMT). However, many phrase reorderings a...
Zhongjun He, Yao Meng, Hao Yu
ICML
2004
IEEE
16 years 5 months ago
Automated hierarchical mixtures of probabilistic principal component analyzers
Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...
Ting Su, Jennifer G. Dy
CORR
2008
Springer
129views Education» more  CORR 2008»
15 years 4 months ago
Hierarchical Bayesian sparse image reconstruction with application to MRFM
This paper presents a hierarchical Bayesian model to reconstruct sparse images when the observations are obtained from linear transformations and corrupted by an additive white Gau...
Nicolas Dobigeon, Alfred O. Hero, Jean-Yves Tourne...
JASIS
2008
102views more  JASIS 2008»
15 years 4 months ago
Hierarchical summarization of large documents
mation science has shown that human abstractors extract sentences for summaries based on the hierarchical structure of documents; however, the existing automatic summarization mode...
Christopher C. Yang, Fu Lee Wang