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ICCV
2001
IEEE
15 years 23 days ago
Image Segmentation by Data Driven Markov Chain Monte Carlo
?This paper presents a computational paradigm called Data-Driven Markov Chain Monte Carlo (DDMCMC) for image segmentation in the Bayesian statistical framework. The paper contribut...
Zhuowen Tu, Song Chun Zhu, Heung-Yeung Shum
ECCV
2006
Springer
15 years 22 days ago
Conditional Infomax Learning: An Integrated Framework for Feature Extraction and Fusion
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...
Dahua Lin, Xiaoou Tang
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
14 years 11 months ago
Finding low-entropy sets and trees from binary data
The discovery of subsets with special properties from binary data has been one of the key themes in pattern discovery. Pattern classes such as frequent itemsets stress the co-occu...
Eino Hinkkanen, Hannes Heikinheimo, Heikki Mannila...
LOCA
2005
Springer
14 years 4 months ago
Classifying the Mobility of Users and the Popularity of Access Points
Abstract. There is increasing interest in location-aware systems and applications. It is important for any designer of such systems and applications to understand the nature of use...
Minkyong Kim, David Kotz
BMCBI
2010
202views more  BMCBI 2010»
13 years 11 months ago
NeMo: Network Module identification in Cytoscape
Background: As the size of the known human interactome grows, biologists increasingly rely on computational tools to identify patterns that represent protein complexes and pathway...
Corban G. Rivera, Rachit Vakil, Joel S. Bader