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VLSISP
1998
111views more  VLSISP 1998»
15 years 3 months ago
Quantitative Analysis of MR Brain Image Sequences by Adaptive Self-Organizing Finite Mixtures
This paper presents an adaptive structure self-organizing finite mixture network for quantification of magnetic resonance (MR) brain image sequences. We present justification fo...
Yue Wang, Tülay Adali, Chi-Ming Lau, Sun-Yuan...
105
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TEC
2002
88views more  TEC 2002»
15 years 3 months ago
Parallelism and evolutionary algorithms
Abstract--This paper contains a modern vision of the parallelization techniques used for evolutionary algorithms (EAs). The work is motivated by two fundamental facts: first, the d...
Enrique Alba, Marco Tomassini
TOG
2002
116views more  TOG 2002»
15 years 3 months ago
Linear combination of transformations
Geometric transformations are most commonly represented as square matrices in computer graphics. Following simple geometric arguments we derive a natural and geometrically meaning...
Marc Alexa
120
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TSMC
2002
156views more  TSMC 2002»
15 years 3 months ago
Varieties of learning automata: an overview
Automata models of learning systems introduced in the 1960s were popularized as learning automata (LA) in a survey paper in 1974 [1]. Since then, there have been many fundamental a...
M. A. L. Thathachar, P. Shanti Sastry
PR
2007
235views more  PR 2007»
15 years 3 months ago
Robust facial feature tracking under varying face pose and facial expression
This paper presents a hierarchical multi-state pose-dependent approach for facial feature detection and tracking under varying facial expression and face pose. For effective and e...
Yan Tong, Yang Wang 0002, Zhiwei Zhu, Qiang Ji
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