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NN
2006
Springer
153views Neural Networks» more  NN 2006»
15 years 6 months ago
An incremental network for on-line unsupervised classification and topology learning
This paper presents an on-line unsupervised learning mechanism for unlabeled data that are polluted by noise. Using a similarity thresholdbased and a local error-based insertion c...
Shen Furao, Osamu Hasegawa
TIP
2008
208views more  TIP 2008»
15 years 6 months ago
Vision Processing for Realtime 3-D Data Acquisition Based on Coded Structured Light
Structured light vision systems have been successfully used for accurate measurement of 3-D surfaces in computer vision. However, their applications are mainly limited to scanning ...
S. Y. Chen, Y. F. Li, Jianwei Zhang
TOG
2008
143views more  TOG 2008»
15 years 6 months ago
Discovering structural regularity in 3D geometry
We introduce a computational framework for discovering regular or repeated geometric structures in 3D shapes. We describe and classify possible regular structures and present an e...
Mark Pauly, Niloy J. Mitra, Johannes Wallner, Helm...
JNW
2007
80views more  JNW 2007»
15 years 6 months ago
A New Method of Using Sensor Network for Solving Pursuit-Evasion Problem
— Wireless sensor networks offer the potential to significantly improve the performance of pursuers in pursuit-evasion games. In this paper, we study several sensor network syst...
Peng Zhuang, Yi Shang, Hongchi Shi
TVCG
2008
103views more  TVCG 2008»
15 years 6 months ago
Practical Box Splines for Reconstruction on the Body Centered Cubic Lattice
We introduce a family of box splines for efficient, accurate and smooth reconstruction of volumetric data sampled on the Body Centered Cubic (BCC) lattice, which is the favorable v...
Alireza Entezari, Dimitri Van De Ville, Torsten M&...