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SMI
2008
IEEE
116views Image Analysis» more  SMI 2008»
15 years 5 months ago
Self-organizing primitives for automated shape composition
Motivated by the ability of living cells to form into specific shapes and structures, we present a new approach to shape modeling based on self-organizing primitives whose behavi...
Linge Bai, Manolya Eyiyurekli, David E. Breen
CAIP
2011
Springer
248views Image Analysis» more  CAIP 2011»
13 years 11 months ago
Statistical Tuning of Adaptive-Weight Depth Map Algorithm
Abstract. In depth map generation, the settings of the algorithm parameters to yield an accurate disparity estimation are usually chosen empirically or based on unplanned experimen...
Alejandro Hoyos, John Congote, Iñigo Barand...
88
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Publication
309views
15 years 8 months ago
Improving Nearest Neighbor Classification with Cam Weighted Distance
Nearest neighbor (NN) classification assumes locally constant class conditional probabilities, and suffers from bias in high dimensions with a small sample set. In this paper, we p...
Changyin Zhou, Yanqiu Chen
69
Voted
INFOCOM
2007
IEEE
15 years 5 months ago
Finding Self-Similarities in Opportunistic People Networks
— Opportunistic network is a type of Delay Tolerant Networks (DTN) where network communication opportunities appear opportunistic. In this study, we investigate opportunistic net...
Ling-Jyh Chen, Yung-Chih Chen, Tony Sun, Paruvelli...
ADBIS
2007
Springer
145views Database» more  ADBIS 2007»
15 years 5 months ago
A Method for Comparing Self-organizing Maps: Case Studies of Banking and Linguistic Data
The method of self-organizing maps (SOM) is a method of exploratory data analysis used for clustering and projecting multi-dimensional data into a lower-dimensional space to reveal...
Toomas Kirt, Ene Vainik, Leo Vohandu