Sciweavers

845 search results - page 74 / 169
» Adaptive K-Means Clustering
Sort
View
ICASSP
2011
IEEE
14 years 10 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
15 years 8 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 10 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»
15 years 6 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»
16 years 6 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...