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» Efficient Learning of Semi-structured Data from Queries
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TSP
2010
14 years 11 months ago
Double sparsity: learning sparse dictionaries for sparse signal approximation
Abstract--An efficient and flexible dictionary structure is proposed for sparse and redundant signal representation. The proposed sparse dictionary is based on a sparsity model of ...
Ron Rubinstein, Michael Zibulevsky, Michael Elad
222
Voted
DBWORKSHOPS
1992
15 years 6 months ago
An Incremental Concept Formation Approach for Learning from Databases
Godin, R. and R. Missaoui, An incremental concept formation approach for learning from databases, Theoretical Computer Science 133 (1994) 3533385. This paper describes a concept f...
Rokia Missaoui, Robert Godin
DOLAP
2000
ACM
15 years 9 months ago
CUBIST: A New Algorithm For Improving the Performance of Ad-hoc OLAP Queries
Being able to efficiently answer arbitrary OLAP queries that aggregate along any combination of dimensions over numerical and categorical attributes has been a continued, major co...
Lixin Fu, Joachim Hammer
ECML
2004
Springer
15 years 10 months ago
Exploiting Unlabeled Data in Content-Based Image Retrieval
Abstract. In this paper, the Ssair (Semi-Supervised Active Image Retrieval) approach, which attempts to exploit unlabeled data to improve the performance of content-based image ret...
Zhi-Hua Zhou, Ke-Jia Chen, Yuan Jiang
PAMI
2012
13 years 7 months ago
Task-Driven Dictionary Learning
—Modeling data with linear combinations of a few elements from a learned dictionary has been the focus of much recent research in machine learning, neuroscience, and signal proce...
Julien Mairal, Francis Bach, Jean Ponce