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SIGMOD
1999
ACM
181views Database» more  SIGMOD 1999»
15 years 7 months ago
Approximate Computation of Multidimensional Aggregates of Sparse Data Using Wavelets
Computing multidimensional aggregates in high dimensions is a performance bottleneck for many OLAP applications. Obtaining the exact answer to an aggregation query can be prohibit...
Jeffrey Scott Vitter, Min Wang
TSP
2008
151views more  TSP 2008»
15 years 3 months ago
Reduce and Boost: Recovering Arbitrary Sets of Jointly Sparse Vectors
The rapid developing area of compressed sensing suggests that a sparse vector lying in a high dimensional space can be accurately and efficiently recovered from only a small set of...
Moshe Mishali, Yonina C. Eldar
CIKM
2008
Springer
15 years 5 months ago
A sparse gaussian processes classification framework for fast tag suggestions
Tagged data is rapidly becoming more available on the World Wide Web. Web sites which populate tagging services offer a good way for Internet users to share their knowledge. An in...
Yang Song, Lu Zhang 0007, C. Lee Giles
JMIV
2011
179views more  JMIV 2011»
14 years 10 months ago
3-D Data Denoising and Inpainting with the Low-Redundancy Fast Curvelet Transform
In this paper, we first present a new implementation of the 3-D fast curvelet transform, which is nearly 2.5 less redundant than the Curvelab (wrapping-based) implementation as o...
A. Woiselle, Jean-Luc Starck, Jalal Fadili
140
Voted
KDD
2005
ACM
117views Data Mining» more  KDD 2005»
16 years 3 months ago
Rule extraction from linear support vector machines
We describe an algorithm for converting linear support vector machines and any other arbitrary hyperplane-based linear classifiers into a set of non-overlapping rules that, unlike...
Glenn Fung, Sathyakama Sandilya, R. Bharat Rao