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KDD
2007
ACM
159views Data Mining» more  KDD 2007»
14 years 9 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
ICPR
2004
IEEE
14 years 10 months ago
Parallelizing Motion Segmentation by Perceptual Organization of XYT
The front end of many motion analysis algorithms is usually a process that generates bounding boxes around each moving object, roughly segmenting the objects from the background. ...
Daniel Majchrzak, Sudeep Sarkar
SDM
2007
SIAM
122views Data Mining» more  SDM 2007»
13 years 10 months ago
Incremental Spectral Clustering With Application to Monitoring of Evolving Blog Communities
In recent years, spectral clustering method has gained attentions because of its superior performance compared to other traditional clustering algorithms such as K-means algorithm...
Huazhong Ning, Wei Xu, Yun Chi, Yihong Gong, Thoma...
BMCBI
2005
110views more  BMCBI 2005»
13 years 8 months ago
Discovery of protein-protein interactions using a combination of linguistic, statistical and graphical information
Background: The rapid publication of important research in the biomedical literature makes it increasingly difficult for researchers to keep current with significant work in their...
James W. Cooper, Aaron Kershenbaum
BICOB
2010
Springer
13 years 7 months ago
Multiple Kernel Learning for Fold Recognition
Fold recognition is a key problem in computational biology that involves classifying protein sharing structural similarities into classes commonly known as "folds". Rece...
Huzefa Rangwala