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» The Foundations of Cost-Sensitive Learning
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KDD
2003
ACM
180views Data Mining» more  KDD 2003»
14 years 8 months ago
Classifying large data sets using SVMs with hierarchical clusters
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
Hwanjo Yu, Jiong Yang, Jiawei Han
CANDC
2009
ACM
14 years 2 months ago
Exploring illuminative systems in informal networks of adults
Whenever we feel those ‘higher’ and hard to define sensations like synchronicity, love, wholeness, and appreciation is this a pattern or illuminative system that is part of a ...
Amy K. Scatliff
MIR
2005
ACM
141views Multimedia» more  MIR 2005»
14 years 1 months ago
A mutual semantic endorsement approach to image retrieval and context provision
Learning semantics from annotated images to enhance content-based retrieval is an important research direction. In this paper, annotation data are assumed available for only a sub...
Jia Li
SP
2000
IEEE
117views Security Privacy» more  SP 2000»
13 years 12 months ago
Practical Techniques for Searches on Encrypted Data
It is desirable to store data on data storage servers such as mail servers and file servers in encrypted form to reduce security and privacy risks. But this usually implies that ...
Dawn Xiaodong Song, David Wagner, Adrian Perrig
AAAI
2007
13 years 9 months ago
On the Prospects for Building a Working Model of the Visual Cortex
Human visual capability has remained largely beyond the reach of engineered systems despite intensive study and considerable progress in problem understanding, algorithms and comp...
Thomas Dean, Glenn Carroll, Richard Washington