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» On Computing Functions with Uncertainty
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ISBI
2007
IEEE
16 years 1 months ago
Multi-Resolution Image Segmentation Using the 2-Point Correlation Functions
Recently, the 2-point correlation functions (2-pcfs) were employed in building feature vectors for histological image segmentation. The 2-pcfs serve as estimators of material dist...
Firdaus Janoos, M. Okan Irfanoglu, Kishore Mosalig...
ISQED
2007
IEEE
236views Hardware» more  ISQED 2007»
16 years 1 months ago
3DFFT: Thermal Analysis of Non-Homogeneous IC Using 3D FFT Green Function Method
Due to the roaring power dissipation and gaining popularity of 3D integration, thermal dissipation has been a critical concern of modern VLSI design. The availability for chip-lev...
Dongkeun Oh, Charlie Chung-Ping Chen, Yu Hen Hu
GECCO
2007
Springer
187views Optimization» more  GECCO 2007»
16 years 1 months ago
Defining implicit objective functions for design problems
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
Sean Hanna
ASPDAC
2006
ACM
124views Hardware» more  ASPDAC 2006»
16 years 24 days ago
Functional modeling techniques for efficient SW code generation of video codec applications
–Architectures with multiple programmable cores are becoming more attractive for video codec applications because they can provide highly concurrent computation and support multi...
Sang-Il Han, Soo-Ik Chae, Ahmed Amine Jerraya
GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
16 years 10 days ago
Not all linear functions are equally difficult for the compact genetic algorithm
Estimation of distribution algorithms (EDAs) try to solve an optimization problem by finding a probability distribution focussed around its optima. For this purpose they conduct ...
Stefan Droste