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» The Middle Product Algorithm I
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MM
2005
ACM
122views Multimedia» more  MM 2005»
15 years 7 months ago
Image clustering with tensor representation
We consider the problem of image representation and clustering. Traditionally, an n1 × n2 image is represented by a vector in the Euclidean space Rn1×n2 . Some learning algorith...
Xiaofei He, Deng Cai, Haifeng Liu, Jiawei Han
147
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ML
2000
ACM
154views Machine Learning» more  ML 2000»
15 years 1 months ago
Lazy Learning of Bayesian Rules
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
Zijian Zheng, Geoffrey I. Webb
KDD
2006
ACM
118views Data Mining» more  KDD 2006»
16 years 2 months ago
Maximum profit mining and its application in software development
While most software defects (i.e., bugs) are corrected and tested as part of the lengthy software development cycle, enterprise software vendors often have to release software pro...
Charles X. Ling, Victor S. Sheng, Tilmann F. W. Br...
SIGECOM
2003
ACM
174views ECommerce» more  SIGECOM 2003»
15 years 7 months ago
Collaboration software to reduce inventory and increase response
Some recent trends in business and manufacturing hold the promise of greater profits, yet, due to profit-robbing inventory increases, this promise has not been fully realized. [9]...
Indu Bingham, Barbara Hoefle, Kim Phan, Jim Sizemo...
84
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BMCBI
2007
133views more  BMCBI 2007»
15 years 1 months ago
AGGRESCAN: a server for the prediction and evaluation of "hot spots" of aggregation in polypeptides
Background: Protein aggregation correlates with the development of several debilitating human disorders of growing incidence, such as Alzheimer's and Parkinson's disease...
Oscar Conchillo-Solé, Natalia S. de Groot, ...