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» A Distance-Based Packing Method for High Dimensional Data
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KDD
2008
ACM
172views Data Mining» more  KDD 2008»
14 years 8 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon
JMLR
2010
101views more  JMLR 2010»
13 years 2 months ago
Exploiting Feature Covariance in High-Dimensional Online Learning
Some online algorithms for linear classification model the uncertainty in their weights over the course of learning. Modeling the full covariance structure of the weights can prov...
Justin Ma, Alex Kulesza, Mark Dredze, Koby Crammer...
ISM
2006
IEEE
174views Multimedia» more  ISM 2006»
14 years 1 months ago
Fast Similarity Search for High-Dimensional Dataset
This paper addresses the challenging problem of rapidly searching and matching high-dimensional features for the applications of multimedia database retrieval and pattern recognit...
Quan Wang, Suya You
DAWAK
1999
Springer
13 years 11 months ago
Efficient Bulk Loading of Large High-Dimensional Indexes
Efficient index construction in multidimensional data spaces is important for many knowledge discovery algorithms, because construction times typically must be amortized by perform...
Christian Böhm, Hans-Peter Kriegel
CGF
2011
12 years 11 months ago
Visualizing High-Dimensional Structures by Dimension Ordering and Filtering using Subspace Analysis
High-dimensional data visualization is receiving increasing interest because of the growing abundance of highdimensional datasets. To understand such datasets, visualization of th...
Bilkis J. Ferdosi, Jos B. T. M. Roerdink