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» Approximate Reasoning Based on Similarity
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KDD
2006
ACM
213views Data Mining» more  KDD 2006»
14 years 9 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
KDD
2001
ACM
203views Data Mining» more  KDD 2001»
14 years 9 months ago
Ensemble-index: a new approach to indexing large databases
The problem of similarity search (query-by-content) has attracted much research interest. It is a difficult problem because of the inherently high dimensionality of the data. The ...
Eamonn J. Keogh, Selina Chu, Michael J. Pazzani
MM
2004
ACM
167views Multimedia» more  MM 2004»
14 years 2 months ago
Learning an image manifold for retrieval
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
Xiaofei He, Wei-Ying Ma, HongJiang Zhang
CORR
2010
Springer
116views Education» more  CORR 2010»
13 years 3 months ago
New Results on the Capacity of the Gaussian Cognitive Interference Channel
The capacity of the two-user Gaussian cognitive interference channel, a variation of the classical interference channel where one of the transmitters has knowledge of both messages...
Stefano Rini, Daniela Tuninetti, Natasha Devroye
TKDE
2011
133views more  TKDE 2011»
13 years 3 months ago
Collaborative Filtering with Personalized Skylines
— Collaborative filtering (CF) systems exploit previous ratings and similarity in user behavior to recommend the top-k objects/records which are potentially most interesting to t...
Ilaria Bartolini, Zhenjie Zhang, Dimitris Papadias