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ICML
2006
IEEE
16 years 1 months ago
Fast and space efficient string kernels using suffix arrays
String kernels which compare the set of all common substrings between two given strings have recently been proposed by Vishwanathan & Smola (2004). Surprisingly, these kernels...
Choon Hui Teo, S. V. N. Vishwanathan
120
Voted
ICML
2009
IEEE
16 years 1 months ago
SimpleNPKL: simple non-parametric kernel learning
Previous studies of Non-Parametric Kernel (NPK) learning usually reduce to solving some Semi-Definite Programming (SDP) problem by a standard SDP solver. However, time complexity ...
Jinfeng Zhuang, Ivor W. Tsang, Steven C. H. Hoi
83
Voted
ICCD
2007
IEEE
120views Hardware» more  ICCD 2007»
15 years 9 months ago
Statistical timing analysis using Kernel smoothing
We have developed a new statistical timing analysis approach that does not impose any assumptions on the nature of manufacturing variability and takes into account an arbitrary mo...
Jennifer L. Wong, Azadeh Davoodi, Vishal Khandelwa...
95
Voted
MTA
2006
173views more  MTA 2006»
15 years 13 days ago
Active learning in very large databases
Abstract. Query-by-example and query-by-keyword both suffer from the problem of "aliasing," meaning that example-images and keywords potentially have variable interpretat...
Navneet Panda, Kingshy Goh, Edward Y. Chang
85
Voted
FCCM
1997
IEEE
118views VLSI» more  FCCM 1997»
15 years 4 months ago
Computing kernels implemented with a wormhole RTR CCM
The Wormhole Run-Time Reconfiguration (RTR) computing paradigm is a method for creating high performance computational pipelines. The scalability, distributed control and data pow...
Ray Bittner, Peter M. Athanas