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DCC
2009
IEEE
14 years 8 months ago
Compressed Kernel Perceptrons
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
Slobodan Vucetic, Vladimir Coric, Zhuang Wang
ICASSP
2009
IEEE
14 years 2 months ago
Cross-lingual speech recognition under runtime resource constraints
This paper proposes and compares four cross-lingual and bilingual automatic speech recognition techniques under the constraints of limited memory size and CPU speed. The first thr...
Dong Yu, Li Deng, Peng Liu, Jian Wu, Yifan Gong, A...
SENSYS
2006
ACM
14 years 1 months ago
Run-time dynamic linking for reprogramming wireless sensor networks
From experience with wireless sensor networks it has become apparent that dynamic reprogramming of the sensor nodes is a useful feature. The resource constraints in terms of energ...
Adam Dunkels, Niclas Finne, Joakim Eriksson, Thiem...
EMSOFT
2008
Springer
13 years 8 months ago
On the interplay of dynamic voltage scaling and dynamic power management in real-time embedded applications
Dynamic Voltage Scaling (DVS) and Dynamic Power Management (DPM) are two popular techniques commonly employed to save energy in real-time embedded systems. DVS policies aim at red...
Vinay Devadas, Hakan Aydin
CORR
2010
Springer
206views Education» more  CORR 2010»
13 years 7 months ago
Detecting Anomalous Process Behaviour using Second Generation Artificial Immune Systems
Abstract. Artificial immune systems (AISs) are problem-solving systems inspired by the biological immune system. They have been successfully applied to a number of problem domains ...
Jamie Twycross, Uwe Aickelin, Amanda M. Whitbrook