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» Maximizing Adaptivity in Hierarchical Topological Models
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ICMCS
2006
IEEE
195views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Adaptive MCTF based on Correlation Noise Model for SNR Scalable Video Coding
This paper proposes a subband adaptive motion compensated temporal filtering (MCTF) technique for scalable video coding and introduces a revised synthesis gain model for the quant...
Ruiqin Xiong, Jizheng Xu, Feng Wu, Shipeng Li
ICCV
1995
IEEE
13 years 11 months ago
Adaptive Shape Evolution Using Blending
We propose a shape representation scheme which allows two shapes to be combined into a single model. The desired regions of the two shapes are selected, and then merged together f...
Douglas DeCarlo, Dimitris N. Metaxas
WEBI
2007
Springer
14 years 1 months ago
Growing Hierarchical Self-Organizing Maps for Web Mining
— Many information retrieval and machine learning methods have not evolved in order to be applied to the Web. Two main problems in applying some machine learning techniques for W...
Joseph P. Herbert, Jingtao Yao
GECCO
2004
Springer
14 years 28 days ago
Evolved Motor Primitives and Sequences in a Hierarchical Recurrent Neural Network
This study describes how complex goal-directed behavior can evolve in a hierarchically organized recurrent neural network controlling a simulated Khepera robot. Different types of ...
Rainer W. Paine, Jun Tani
GLOBECOM
2009
IEEE
14 years 2 months ago
Hierarchical Network Formation Games in the Uplink of Multi-Hop Wireless Networks
— In this paper, we propose a game theoretic approach to tackle the problem of the distributed formation of the hierarchical network architecture that connects the nodes in the u...
Walid Saad, Quanyan Zhu, Tamer Basar, Zhu Han, Are...