1825 search results - page 105 / 365 » Local Dimensionality Reduction |
105
Voted
PAKDD
2009
ACM
15 years 7 months ago
2009
ACM
Abstract. Clustering high dimensional data with sparse features is challenging because pairwise distances between data items are not informative in high dimensional space. To addre...
100
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SIGSOFT
2007
ACM
16 years 1 months ago
2007
ACM
There has recently been a great deal of interest in search? based test data generation, with many local and global search algorithms being proposed. However, to date, there has be...
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
117
Voted
DAGM
2009
Springer
15 years 7 months ago
2009
Springer
This paper describes a new approach for detecting objects based on measuring the spatial consistency between different parts of an object. These parts are pre-defined on a set of...
DATE
2010
IEEE
15 years 5 months ago
2010
IEEE
— This paper describes a Model Order Reduction algorithm for multi-dimensional parameterized systems, based on a sampling procedure which incorporates a low order moment matching...