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16 years 11 months ago
Gaussian Processes for Machine Learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...
ICDE
2009
IEEE
170views Database» more  ICDE 2009»
16 years 3 months ago
Semantics of Ranking Queries for Probabilistic Data and Expected Ranks
Abstract-- When dealing with massive quantities of data, topk queries are a powerful technique for returning only the k most relevant tuples for inspection, based on a scoring func...
Graham Cormode, Feifei Li, Ke Yi
ICIP
2002
IEEE
16 years 2 months ago
A method for color naming and description of color composition in images
Color is one of the main visual cues and has been frequently used in image processing, analysis and retrieval. The extraction of highlevel color descriptors is an increasingly imp...
Aleksandra Mojsilovic
ICDE
2008
IEEE
127views Database» more  ICDE 2008»
16 years 2 months ago
Querying Data under Access Limitations
Data sources on the web are often accessible through web interfaces that present them as relational tables, but require certain attributes to be mandatorily selected, e.g., via a w...
Andrea Calì, Davide Martinenghi
ICDE
2007
IEEE
114views Database» more  ICDE 2007»
16 years 2 months ago
Scalable Peer-to-Peer Web Retrieval with Highly Discriminative Keys
The suitability of Peer-to-Peer (P2P) approaches for fulltext web retrieval has recently been questioned because of the claimed unacceptable bandwidth consumption induced by retri...
Ivana Podnar, Martin Rajman, Toan Luu, Fabius Klem...
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