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IJON
1998
158views more  IJON 1998»
15 years 6 months ago
Bayesian Kullback Ying-Yang dependence reduction theory
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
Lei Xu
PAMI
2002
114views more  PAMI 2002»
15 years 6 months ago
Principal Manifolds and Probabilistic Subspaces for Visual Recognition
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Several leading techniques: Principal Compo...
Baback Moghaddam
225
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TMC
2010
159views more  TMC 2010»
15 years 5 months ago
Radio Sleep Mode Optimization in Wireless Sensor Networks
—Energy-efficiency is a central challenge in sensor networks, and the radio is a major contributor to overall energy node consumption. Current energy-efficient MAC protocols fo...
Raja Jurdak, Antonio G. Ruzzelli, Gregory M. P. O'...
BMCBI
2010
126views more  BMCBI 2010»
15 years 4 months ago
Systematic integration of experimental data and models in systems biology
Background: The behaviour of biological systems can be deduced from their mathematical models. However, multiple sources of data in diverse forms are required in the construction ...
Peter Li, Joseph O. Dada, Daniel Jameson, Irena Sp...
CODES
2010
IEEE
15 years 4 months ago
Accurate online power estimation and automatic battery behavior based power model generation for smartphones
This paper describes PowerBooter, an automated power model construction technique that uses built-in battery voltage sensors and knowledge of battery discharge behavior to monitor...
Lide Zhang, Birjodh Tiwana, Zhiyun Qian, Zhaoguang...