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ICASSP
2011
IEEE
14 years 1 months ago
Adaptive N-normalization for enhancing music similarity
The N-Normalization is an efficient method for normalizing a given similarity computed among multimedia objects. It can be considered for clustering and kernel enhancement. Howev...
Mathieu Lagrange, George Tzanetakis
COLT
2008
Springer
14 years 11 months ago
Adaptive Hausdorff Estimation of Density Level Sets
Consider the problem of estimating the -level set G = {x : f(x) } of an unknown d-dimensional density function f based on n independent observations X1, . . . , Xn from the densi...
Aarti Singh, Robert Nowak, Clayton Scott
CCGRID
2011
IEEE
14 years 1 months ago
A Segment-Level Adaptive Data Layout Scheme for Improved Load Balance in Parallel File Systems
Abstract—Parallel file systems are designed to mask the everincreasing gap between CPU and disk speeds via parallel I/O processing. While they have become an indispensable compo...
Huaiming Song, Yanlong Yin, Xian-He Sun, Rajeev Th...
NPL
2006
172views more  NPL 2006»
14 years 9 months ago
Adapting RBF Neural Networks to Multi-Instance Learning
In multi-instance learning, the training examples are bags composed of instances without labels, and the task is to predict the labels of unseen bags through analyzing the training...
Min-Ling Zhang, Zhi-Hua Zhou
EDBT
2004
ACM
145views Database» more  EDBT 2004»
15 years 10 months ago
CUBE File: A File Structure for Hierarchically Clustered OLAP Cubes
Abstract. Hierarchical clustering has been proved an effective means for physically organizing large fact tables since it reduces significantly the I/O cost during ad hoc OLAP quer...
Nikos Karayannidis, Timos K. Sellis, Yannis Kouvar...