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» Sparse Optimization for Second Order Kernel Methods
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KDD
2006
ACM
165views Data Mining» more  KDD 2006»
14 years 8 months ago
Training linear SVMs in linear time
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
Thorsten Joachims
CIKM
2011
Springer
12 years 8 months ago
Factorization-based lossless compression of inverted indices
Many large-scale Web applications that require ranked top-k retrieval are implemented using inverted indices. An inverted index represents a sparse term-document matrix, where non...
George Beskales, Marcus Fontoura, Maxim Gurevich, ...
PDPTA
2003
13 years 9 months ago
Flexible Approximate String Matching Application on a Heterogeneous Distributed Environment
In this paper, we present three parallel flexible approximate string matching methods on a parallel architecture with heterogeneous workstations to gain supercomputer power at lo...
Panagiotis D. Michailidis, Konstantinos G. Margari...
JDCTA
2010
131views more  JDCTA 2010»
13 years 3 months ago
Segmentation for Eyed Typhoon Cloud Image by Curvature and Fractal Feature
An efficient method to segment eyed typhoon from a satellite cloud image is proposed. First, original satellite cloud image is enhanced by gray transform. Second, in order to redu...
Changjiang Zhang, Xiang Zhang, Bo Yang, Ying Li
ICCAD
1994
IEEE
114views Hardware» more  ICCAD 1994»
14 years 17 days ago
Performance-driven synthesis of asynchronous controllers
We examine the implications of a new hazard-free combinational logic synthesis method [8], which generates multiplexor trees from binary decision diagrams (BDDs) -- representation...
Kenneth Y. Yun, Bill Lin, David L. Dill, Srinivas ...