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» Optimizing Spatial Data Structures For Static Data
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GECCO
2003
Springer
120views Optimization» more  GECCO 2003»
14 years 2 months ago
New Usage of SOM for Genetic Algorithms
Abstract. Self-Organizing Map (SOM) is an unsupervised learning neural network and it is used for preserving the structural relationships in the data without prior knowledge. SOM h...
Jung Hwan Kim, Byung Ro Moon
EMNLP
2008
13 years 10 months ago
Complexity of Finding the BLEU-optimal Hypothesis in a Confusion Network
Confusion networks are a simple representation of multiple speech recognition or translation hypotheses in a machine translation system. A typical operation on a confusion network...
Gregor Leusch, Evgeny Matusov, Hermann Ney
CGF
2008
148views more  CGF 2008»
13 years 9 months ago
Automatic Registration for Articulated Shapes
We present an unsupervised algorithm for aligning a pair of shapes in the presence of significant articulated motion and missing data, while assuming no knowledge of a template, u...
Will Chang, Matthias Zwicker
PE
2006
Springer
127views Optimization» more  PE 2006»
13 years 9 months ago
Cycloid: A constant-degree and lookup-efficient P2P overlay network
There are many structured P2P systems that use DHT technologies to map data items onto the nodes in various ways for scalable routing and location. Most of the systems require O(lo...
Haiying Shen, Cheng-Zhong Xu, Guihai Chen
TCS
2008
13 years 9 months ago
Succinct representations of planar maps
This paper addresses the problem of representing the connectivity information of geometric objects using as little memory as possible. As opposed to raw compression issues, the fo...
Luca Castelli Aleardi, Olivier Devillers, Gilles S...