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NIPS
1998
15 years 8 months ago
Learning from Dyadic Data
Dyadic data refers to a domain with two nite sets of objects in which observations are made for dyads, i.e., pairs with one element from either set. This type of data arises natur...
Thomas Hofmann, Jan Puzicha, Michael I. Jordan
CORIA
2009
15 years 7 months ago
Clustering en recherche d'information : concentration vs distribution de l'information pertinente
Relying on the Cluster Hypothesis, which states that relevant documents tend to be more similar one to each other than to non-relevant ones, most of information retrieval systems p...
Sylvain Lamprier, Tassadit Amghar, Bernard Levrat,...
ICCVG
2010
15 years 7 months ago
Visual Codebooks Survey for Video On-Line Processing
Abstract. This paper explores techniques in the pipeline of image description based on visual codebooks suitable for video on-line processing. The pipeline components are (i) extra...
Vítezslav Beran, Pavel Zemcík
WWW
2010
ACM
15 years 6 months ago
Anonymizing user profiles for personalized web search
We study the problem of anonymizing user profiles so that user privacy is sufficiently protected while the anonymized profiles are still effective in enabling personalized web sea...
Yun Zhu, Li Xiong, Christopher Verdery
ICASSP
2010
IEEE
15 years 6 months ago
Detecting local semantic concepts in environmental sounds using Markov model based clustering
Detecting the time of occurrence of an acoustic event (for instance, a cheer) embedded in a longer soundtrack is useful and important for applications such as search and retrieval...
Keansub Lee, Daniel P. W. Ellis, Alexander C. Loui