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ICML
1994
IEEE
13 years 11 months ago
Prototype and Feature Selection by Sampling and Random Mutation Hill Climbing Algorithms
With the goal of reducing computational costs without sacrificing accuracy, we describe two algorithms to find sets of prototypes for nearest neighbor classification. Here, the te...
David B. Skalak
ICASSP
2011
IEEE
13 years 4 months ago
Searching in one billion vectors: re-rank with source coding
Recent indexing techniques inspired by source coding have been shown successful to index billions of high-dimensional vectors in memory. In this paper, we propose an approach that ...
Hervé Jégou and Romain Tavenard and Matthijs Dou...
3DIM
2003
IEEE
13 years 11 months ago
Approximate K-D Tree Search for Efficient ICP
A method is presented that uses an Approximate Nearest Neighbor method for determining correspondences within the Iterative Closest Point Algorithm. The method is based upon the k...
Michael A. Greenspan, Mike Yurick
ICDE
2005
IEEE
146views Database» more  ICDE 2005»
14 years 1 months ago
Best Effort Query Processing in DHT-based P2P Systems
Structured P2P systems in the form of distributed hash tables (DHT) are a promising approach for building massively distributed data management platforms. However, for many applic...
Philipp Rösch, Kai-Uwe Sattler, Christian von...
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