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» Broadcasting with Selective Reduction
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140
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NN
2010
Springer
183views Neural Networks» more  NN 2010»
15 years 2 months ago
Dimensionality reduction for density ratio estimation in high-dimensional spaces
The ratio of two probability density functions is becoming a quantity of interest these days in the machine learning and data mining communities since it can be used for various d...
Masashi Sugiyama, Motoaki Kawanabe, Pui Ling Chui
214
Voted
BIOCOMP
2010
15 years 1 months ago
A Model Reduction Technique for Stochastic Biochemical Kinetics
Abstract-- Modeling the intermolecular reactions in a single cell is a critical problem in computational biology. Biochemical reaction systems often involve species in both low and...
Silvana Ilie, Ekaterina Kudashkina
154
Voted
TVCG
2011
170views more  TVCG 2011»
14 years 10 months ago
Feature-Preserving Volume Data Reduction and Focus+Context Visualization
— The growing sizes of volumetric data sets pose a great challenge for interactive visualization. In this paper, we present a feature-preserving data reduction and focus+context ...
Yu-Shuen Wang, Chaoli Wang, Tong-Yee Lee, Kwan-Liu...
99
Voted
VLSID
2002
IEEE
79views VLSI» more  VLSID 2002»
16 years 4 months ago
A Power Minimization Technique for Arithmetic Circuits by Cell Selection
As a basic cell of arithmetic circuits, a one-bit full adder and a counter are usually used. Minimizing power consumption of these components is a key issue for low-power circuit ...
Masanori Muroyama, Tohru Ishihara, Akihiko Hyodo, ...
116
Voted
ICASSP
2009
IEEE
15 years 10 months ago
Distributed parameter estimation with selective cooperation
This paper proposes selective update and cooperation strategies for parameter estimation in distributed adaptive sensor networks. A setmembership filtering approach is employed t...
Stefan Werner, Yih-Fang Huang, Marcello L. R. de C...