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» Large scale hierarchical clustering of protein sequences
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103
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BMCBI
2004
115views more  BMCBI 2004»
14 years 11 months ago
An SVD-based comparison of nine whole eukaryotic genomes supports a coelomate rather than ecdysozoan lineage
Background: Eukaryotic whole genome sequences are accumulating at an impressive rate. Effective methods for comparing multiple whole eukaryotic genomes on a large scale are needed...
Gary W. Stuart, Michael W. Berry
SOFTVIS
2005
ACM
15 years 4 months ago
Visual data mining in software archives
Software archives contain historical information about the development process of a software system. Using data mining techniques rules can be extracted from these archives. In th...
Michael Burch, Stephan Diehl, Peter Weißgerb...
CIVR
2005
Springer
145views Image Analysis» more  CIVR 2005»
15 years 4 months ago
Person Tracking and Multicamera Video Retrieval Using Floor Sensors in a Ubiquitous Environment
A system for video retrieval from a ubiquitous environment is presented. Data from pressure-based floor sensors are used as a supplementary input for retrieving video from a large...
Gamhewage C. de Silva, Takayuki Ishikawa, Toshihik...
128
Voted
CVPR
2012
IEEE
13 years 1 months ago
Adaptive object tracking by learning background context
One challenge when tracking objects is to adapt the object representation depending on the scene context to account for changes in illumination, coloring, scaling, etc. Here, we p...
Ali Borji, Simone Frintrop, Dicky N. Sihite, Laure...
SDM
2008
SIAM
161views Data Mining» more  SDM 2008»
15 years 15 days ago
Efficient Maximum Margin Clustering via Cutting Plane Algorithm
Maximum margin clustering (MMC) is a recently proposed clustering method, which extends the theory of support vector machine to the unsupervised scenario and aims at finding the m...
Bin Zhao, Fei Wang, Changshui Zhang