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» Constraint Based Methods for Biological Sequence Analysis
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KDD
2008
ACM
172views Data Mining» more  KDD 2008»
16 years 3 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon
147
Voted
TSE
1998
129views more  TSE 1998»
15 years 3 months ago
Inferring Declarative Requirements Specifications from Operational Scenarios
—Scenarios are increasingly recognized as an effective means for eliciting, validating, and documenting software requirements. This paper concentrates on the use of scenarios for...
Axel van Lamsweerde, Laurent Willemet
145
Voted
BMCBI
2010
139views more  BMCBI 2010»
15 years 3 months ago
A highly efficient multi-core algorithm for clustering extremely large datasets
Background: In recent years, the demand for computational power in computational biology has increased due to rapidly growing data sets from microarray and other high-throughput t...
Johann M. Kraus, Hans A. Kestler
174
Voted
CVPR
2011
IEEE
14 years 11 months ago
Online Detection of Unusual Events in Videos via Dynamic Sparse Coding
Real-time unusual event detection in video stream has been a difficult challenge due to the lack of sufficient training information, volatility of the definitions for both norm...
Bin Zhao, Li Fei-Fei, Eric Xing
144
Voted
EVOW
2008
Springer
15 years 5 months ago
Divide, Align and Full-Search for Discovering Conserved Protein Complexes
Advances in modern technologies for measuring protein-protein interaction (PPI) has boosted research in PPI networks analysis and comparison. One of the challenging problems in com...
Pavol Jancura, Jaap Heringa, Elena Marchiori