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» Probabilistic topic modeling for genomic data interpretation
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NAACL
2003
14 years 11 months ago
References to Named Entities: a Corpus Study
References included in multi-document summaries are often problematic. In this paper, we present a corpus study performed to derive a statistical model for the syntactic realizati...
Ani Nenkova, Kathleen McKeown
CORR
2009
Springer
242views Education» more  CORR 2009»
14 years 7 months ago
Adaptive Scheduling of Data Paths using Uppaal Tiga
Abstract. We apply Uppaal Tiga to automatically compute adaptive scheduling strategies for an industrial case study dealing with a state-of-the-art image processing pipeline of a p...
Israa AlAttili, Fred Houben, Georgeta Igna, Steffe...
93
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ECCV
2004
Springer
15 years 11 months ago
A Constrained Semi-supervised Learning Approach to Data Association
Data association (obtaining correspondences) is a ubiquitous problem in computer vision. It appears when matching image features across multiple images, matching image features to ...
Hendrik Kück, Nando de Freitas, Peter Carbone...
NIPS
2008
14 years 11 months ago
Supervised Dictionary Learning
It is now well established that sparse signal models are well suited for restoration tasks and can be effectively learned from audio, image, and video data. Recent research has be...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
BMCBI
2006
119views more  BMCBI 2006»
14 years 9 months ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt