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GECCO
2003
Springer
167views Optimization» more  GECCO 2003»
14 years 3 months ago
Dimensionality Reduction via Genetic Value Clustering
Abstract. Feature extraction based on evolutionary search offers new possibilities for improving classification accuracy and reducing measurement complexity in many data mining and...
Alexander P. Topchy, William F. Punch
PODS
1997
ACM
182views Database» more  PODS 1997»
14 years 2 months ago
A Cost Model For Nearest Neighbor Search in High-Dimensional Data Space
In this paper, we present a new cost model for nearest neighbor search in high-dimensional data space. We first analyze different nearest neighbor algorithms, present a generaliza...
Stefan Berchtold, Christian Böhm, Daniel A. K...
CVPR
2006
IEEE
15 years 12 days ago
Dimensionality Reduction by Learning an Invariant Mapping
Dimensionality reduction involves mapping a set of high dimensional input points onto a low dimensional manifold so that "similar" points in input space are mapped to ne...
Raia Hadsell, Sumit Chopra, Yann LeCun
CCGRID
2006
IEEE
14 years 2 months ago
Density-Based Clustering for Similarity Search in a P2P Network
P2P systems represent a large portion of the Internet traffic which makes the data discovery of great importance to the user and the broad Internet community. Hence, the power of ...
Mouna Kacimi, Kokou Yétongnon
ICDE
2002
IEEE
164views Database» more  ICDE 2002»
14 years 11 months ago
Towards Meaningful High-Dimensional Nearest Neighbor Search by Human-Computer Interaction
Nearest Neighbor search is an important and widely used problem in a number of important application domains. In many of these domains, the dimensionality of the data representati...
Charu C. Aggarwal