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CVPR
2010
IEEE
14 years 5 months ago
Efficient Additive Kernels via Explicit Feature Maps
Maji and Berg [13] have recently introduced an explicit feature map approximating the intersection kernel. This enables efficient learning methods for linear kernels to be applied...
Andrea Vedaldi, Andrew Zisserman
SIGMOD
2001
ACM
136views Database» more  SIGMOD 2001»
14 years 9 months ago
Selectivity Estimation using Probabilistic Models
Estimating the result size of complex queries that involve selection on multiple attributes and the join of several relations is a difficult but fundamental task in database query...
Lise Getoor, Benjamin Taskar, Daphne Koller
BMEI
2009
IEEE
13 years 10 months ago
A Kurtosis and Skewness Based Criterion for Model Selection on Gaussian Mixture
The Gaussian mixture model is a powerful statistical tool in data modeling and analysis. Generally, the EM algorithm is utilized to learn the parameters of the Gaussian mixture. Ho...
Lin Wang, Jinwen Ma
SIAMJO
2008
104views more  SIAMJO 2008»
13 years 9 months ago
A Minimax Theorem with Applications to Machine Learning, Signal Processing, and Finance
This paper concerns a fractional function of the form xT a/ xT Bx, where B is positive definite. We consider the game of choosing x from a convex set, to maximize the function, an...
Seung-Jean Kim, Stephen P. Boyd
RTSS
2007
IEEE
14 years 3 months ago
Utilization-Bound Based Schedulability Analysis of Weighted Round Robin Schedulers
Schedulability analysis is a cornerstone of modern real-time scheduling theory development. Utilizationbound based schedulability test is considered one of most efficient and effe...
Jianjia Wu, Jyh-Charn Liu, Wei Zhao