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» Efficient Discovery of Confounders in Large Data Sets
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FLAIRS
2004
13 years 10 months ago
Adaptive K-Means Clustering
Clustering is used to organize data for efficient retrieval. One of the problems in clustering is the identification of clusters in given data. A popular technique for clustering ...
Sanjiv K. Bhatia
ICPR
2006
IEEE
14 years 3 months ago
A fusion methodology based on Dempster-Shafer evidence theory for two biometric applications
Different features carry more or less rich and varied pieces of information to characterize a pattern. The fusion of these different sources of information can provide an opportun...
Muhammad Arif, Thierry Brouard, Nicole Vincent
MM
2005
ACM
143views Multimedia» more  MM 2005»
14 years 2 months ago
Hierarchical voting classification scheme for improving visual sign language recognition
As one of the important research areas of multimodal interaction, sign language recognition (SLR) has attracted increasing interest. In SLR, especially on medium or large vocabula...
Liang-Guo Zhang, Xilin Chen, Chunli Wang, Wen Gao
CIVR
2010
Springer
246views Image Analysis» more  CIVR 2010»
13 years 7 months ago
Genre-specific semantic video indexing
In many applications, we find large video collections from different genres where the user is often only interested in one or two specific video genres. So, when users are queryin...
Jun Wu, Marcel Worring
BMCBI
2006
103views more  BMCBI 2006»
13 years 9 months ago
Domain-based small molecule binding site annotation
Background: Accurate small molecule binding site information for a protein can facilitate studies in drug docking, drug discovery and function prediction, but small molecule bindi...
Kevin A. Snyder, Howard J. Feldman, Michel Dumonti...