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KDD
2009
ACM
156views Data Mining» more  KDD 2009»
16 years 7 months ago
Multi-focal learning and its application to customer service support
In this study, we formalize a multi-focal learning problem, where training data are partitioned into several different focal groups and the prediction model will be learned within...
Yong Ge, Hui Xiong, Wenjun Zhou, Ramendra K. Sahoo...
ICMCS
2006
IEEE
131views Multimedia» more  ICMCS 2006»
16 years 13 days ago
Self-Supervised Learning for Robust Video Indexing
The performance of video analysis and indexing algorithms strongly depends on the type, content and recording characteristics of the analyzed video. Current video indexing approac...
Ralph Ewerth, Bernd Freisleben
VLDB
2000
ACM
124views Database» more  VLDB 2000»
15 years 10 months ago
Toward Learning Based Web Query Processing
In this paper, we describe a novel Web query processing approach with learning capabilities. Under this approach, user queries are in the form of keywords and search engines are e...
Yanlei Diao, Hongjun Lu, Songting Chen, Zengping T...
JAIR
2008
93views more  JAIR 2008»
15 years 6 months ago
A Rigorously Bayesian Beam Model and an Adaptive Full Scan Model for Range Finders in Dynamic Environments
This paper proposes and experimentally validates a Bayesian network model of a range finder adapted to dynamic environments. All modeling assumptions are rigorously explained, and...
Tinne De Laet, Joris De Schutter, Herman Bruyninck...
ICIP
2005
IEEE
16 years 8 months ago
Learning hidden semantic cues using support vector clustering
This paper presents a method to infer hidden semantic cues by accumulating the knowledge learned from relevance feedback sessions. We propose to explicitly represent a semantic sp...
Jia-Wen Tung, Chiou-Ting Hsu