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IJCV
2008
192views more  IJCV 2008»
15 years 6 months ago
Learning to Locate Informative Features for Visual Identification
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
MIR
2010
ACM
217views Multimedia» more  MIR 2010»
15 years 11 months ago
Feature selection for content-based, time-varying musical emotion regression
In developing automated systems to recognize the emotional content of music, we are faced with a problem spanning two disparate domains: the space of human emotions and the acoust...
Erik M. Schmidt, Douglas Turnbull, Youngmoo E. Kim
206
Voted
KDD
2005
ACM
218views Data Mining» more  KDD 2005»
16 years 6 months ago
A maximum entropy web recommendation system: combining collaborative and content features
Web users display their preferences implicitly by navigating through a sequence of pages or by providing numeric ratings to some items. Web usage mining techniques are used to ext...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
159
Voted
CSFW
2006
IEEE
15 years 10 months ago
Types and Effects for Secure Service Orchestration
A distributed calculus is proposed for describing networks of services. We model service interaction through a call-by-property invocation mechanism, by specifying the security co...
Massimo Bartoletti, Pierpaolo Degano, Gian Luigi F...
177
Voted
LWA
2004
15 years 7 months ago
Sniffing Around for Providing Navigation Assistance
In this paper we describe an approach to adaptive navigation assistance that is meant to enhance a user's information scent. The navigation assistance is composed of a combin...
Eelco Herder