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» An Approach to Requirements Encapsulation with Clustering
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BMCBI
2008
143views more  BMCBI 2008»
15 years 1 months ago
Gene identification and protein classification in microbial metagenomic sequence data via incremental clustering
Background: The identification and study of proteins from metagenomic datasets can shed light on the roles and interactions of the source organisms in their communities. However, ...
Shibu Yooseph, Weizhong Li, Granger G. Sutton
CSMR
2003
IEEE
15 years 7 months ago
Moving to Smaller Libraries via Clustering and Genetic Algorithms
There may be several reasons to reduce a software system to its bare bone removing the extra fat introduced during development or evolution. Porting the software system on embedde...
Giuliano Antoniol, Massimiliano Di Penta, Markus N...
99
Voted
KDD
2005
ACM
107views Data Mining» more  KDD 2005»
15 years 7 months ago
Cross-relational clustering with user's guidance
Clustering is an essential data mining task with numerous applications. However, data in most real-life applications are high-dimensional in nature, and the related information of...
Xiaoxin Yin, Jiawei Han, Philip S. Yu
ICDCSW
2002
IEEE
15 years 6 months ago
Real-Time Processing of Media Streams: A Case for Event-Based Interaction
There are many challenges in devising solutions for online content processing of live networked multimedia sessions. These include the computational complexity of feature extracti...
Viktor S. Wold Eide, Frank Eliassen, Olav Lysne, O...
137
Voted
CVPR
2008
IEEE
16 years 3 months ago
Incremental learning of nonparametric Bayesian mixture models
Clustering is a fundamental task in many vision applications. To date, most clustering algorithms work in a batch setting and training examples must be gathered in a large group b...
Ryan Gomes, Max Welling, Pietro Perona