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» Learning to learn with the informative vector machine
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KCAP
2003
ACM
14 years 2 months ago
Capturing interest through inference and visualization: ontological user profiling in recommender systems
Tools for filtering the World Wide Web exist, but they are hampered by the difficulty of capturing user preferences in such a diverse and dynamic environment. Recommender systems ...
Stuart E. Middleton, Nigel R. Shadbolt, David De R...
MM
2010
ACM
177views Multimedia» more  MM 2010»
13 years 9 months ago
Image tag refinement towards low-rank, content-tag prior and error sparsity
The vast user-provided image tags on the popular photo sharing websites may greatly facilitate image retrieval and management. However, these tags are often imprecise and/or incom...
Guangyu Zhu, Shuicheng Yan, Yi Ma
IJON
1998
172views more  IJON 1998»
13 years 8 months ago
Blind separation of convolved mixtures in the frequency domain
In this paper we employ information theoretic algorithms, previously used for separating instantaneous mixtures of sources, for separating convolved mixtures in the frequency doma...
Paris Smaragdis
JCDL
2004
ACM
128views Education» more  JCDL 2004»
14 years 2 months ago
Panorama: extending digital libraries with topical crawlers
A large amount of research, technical and professional documents are available today in digital formats. Digital libraries are created to facilitate search and retrieval of inform...
Gautam Pant, Kostas Tsioutsiouliklis, Judy Johnson...
ICDE
2003
IEEE
160views Database» more  ICDE 2003»
14 years 10 months ago
HD-Eye - Visual Clustering of High dimensional Data
Clustering of large data bases is an important research area with a large variety of applications in the data base context. Missing in most of the research efforts are means for g...
Alexander Hinneburg, Daniel A. Keim, Markus Wawryn...