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» Dynamic power management using machine learning
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INFOCOM
2003
IEEE
15 years 2 months ago
On-demand Power Management for Ad Hoc Networks
— Battery power is an important resource in ad hoc networks. It has been observed that in ad hoc networks, energy consumption does not reflect the communication activities in th...
Rong Zheng, Robin Kravets
ICASSP
2010
IEEE
14 years 9 months ago
Sparse Bayesian step-filtering for high-throughput analysis of molecular machine dynamics
Nature has evolved many molecular machines such as kinesin, myosin, and the rotary flagellar motor powered by an ion current from the mitochondria. Direct observation of the step-...
Max A. Little, Nick S. Jones
ICCV
2003
IEEE
15 years 11 months ago
A Sparse Probabilistic Learning Algorithm for Real-Time Tracking
This paper addresses the problem of applying powerful pattern recognition algorithms based on kernels to efficient visual tracking. Recently Avidan [1] has shown that object recog...
Oliver M. C. Williams, Andrew Blake, Roberto Cipol...
80
Voted
IJKL
2007
67views more  IJKL 2007»
14 years 9 months ago
Knowledge flow management supporting complex problem solving: learning spectrum and its infrastructure
: Knowledge Management (KM) concerns innovating, spreading, sharing and using of knowledge assets. Dynamic knowledge flow management consists of cognition-compliant knowledge trans...
Wan-Chun Dou, Xiping Liu, Guihai Chen, S. C. Cheun...
90
Voted
TNN
2010
159views Management» more  TNN 2010»
14 years 4 months ago
Multiple incremental decremental learning of support vector machines
We propose a multiple incremental decremental algorithm of Support Vector Machine (SVM). Conventional single incremental decremental SVM can update the trained model efficiently w...
Masayuki Karasuyama, Ichiro Takeuchi