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IPMI
2011
Springer
12 years 11 months ago
Globally Optimal Tumor Segmentation in PET-CT Images: A Graph-Based Co-segmentation Method
Tumor segmentation in PET and CT images is notoriously challenging due to the low spatial resolution in PET and low contrast in CT images. In this paper, we proposed a general fram...
Dongfeng Han, John E. Bayouth, Qi Song, Aakant Tau...
EMO
2006
Springer
124views Optimization» more  EMO 2006»
13 years 11 months ago
I-MODE: An Interactive Multi-objective Optimization and Decision-Making Using Evolutionary Methods
With the popularity of efficient multi-objective evolutionary optimization (EMO) techniques and the need for such problem-solving activities in practice, EMO methodologies and EMO ...
Kalyanmoy Deb, Shamik Chaudhuri
GECCO
2008
Springer
132views Optimization» more  GECCO 2008»
13 years 8 months ago
Hybridizing an evolutionary algorithm with mathematical programming techniques for multi-objective optimization
In recent years, the development of multi-objective evolutionary algorithms (MOEAs) hybridized with mathematical programming techniques has significantly increased. However, most...
Saúl Zapotecas Martínez, Carlos A. C...
INFOCOM
2011
IEEE
12 years 11 months ago
Experimental evaluation of optimal CSMA
Abstract—By ‘optimal CSMA’ we denote a promising approach to maximize throughput-based utility in wireless networks without message passing or synchronization among nodes. De...
Bruno Nardelli, Jinsung Lee, Kangwook Lee, Yung Yi...
GLVLSI
2003
IEEE
146views VLSI» more  GLVLSI 2003»
14 years 29 days ago
A practical CAD technique for reducing power/ground noise in DSM circuits
One of the fundamental problems in Deep Sub Micron (DSM) circuits is Simultaneous Switching Noise (SSN), which causes voltage fluctuations in the circuit power/ground networks. In...
Arindam Mukherjee, Krishna Reddy Dusety, Rajsaktis...