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TEC
2008
165views more  TEC 2008»
15 years 5 months ago
Population-Based Incremental Learning With Associative Memory for Dynamic Environments
In recent years, interest in studying evolutionary algorithms (EAs) for dynamic optimization problems (DOPs) has grown due to its importance in real-world applications. Several app...
Shengxiang Yang, Xin Yao
CAGD
2005
88views more  CAGD 2005»
15 years 5 months ago
An efficient bit allocation for compressing normal meshes with an error-driven quantization
We propose a new wavelet compression algorithm based on the rate-distortion optimization for densely sampled triangular meshes. Exploiting the normal remesher of Guskov et al., th...
Frédéric Payan, Marc Antonini
TIP
2010
155views more  TIP 2010»
15 years 3 months ago
Laplacian Regularized D-Optimal Design for Active Learning and Its Application to Image Retrieval
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...
Xiaofei He
SECON
2010
IEEE
15 years 3 months ago
Transmission Scheduling for Routing Paths in Cognitive Radio Mesh Networks
Nodes in a cognitive radio mesh network may select from a set of available channels to use provided they do not interfere with primary users. This ability can improve overall netwo...
Brendan Mumey, Xia Zhao, Jian Tang, Richard S. Wol...
INFOCOM
2010
IEEE
15 years 2 months ago
A Greedy Link Scheduler for Wireless Networks with Gaussian Multiple Access and Broadcast Channels
Information theoretic Broadcast Channels (BC) and Multiple Access Channels (MAC) enable a single node to transmit data simultaneously to multiple nodes, and multiple nodes to trans...
Arun Sridharan, Can Emre Koksal, Elif Uysal-Biyiko...