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SP
2008
IEEE
176views Security Privacy» more  SP 2008»
16 years 1 months ago
Casting out Demons: Sanitizing Training Data for Anomaly Sensors
The efficacy of Anomaly Detection (AD) sensors depends heavily on the quality of the data used to train them. Artificial or contrived training data may not provide a realistic v...
Gabriela F. Cretu, Angelos Stavrou, Michael E. Loc...
VLSID
2008
IEEE
122views VLSI» more  VLSID 2008»
16 years 1 months ago
Implementing the Best Processor Cores
It is well-known that varying architectural, technological and implementation aspects of embedded microprocessors, such as ARM, can produce widely differing performance and power ...
Vamsi Boppana, Rahoul Varma, S. Balajee
ICC
2007
IEEE
16 years 29 days ago
Video Coding With Linear Compensation (VCLC)
— Block based motion compensation techniques are commonly used in video encoding to reduce the temporal redundancy of the signal. In these techniques, each block in a video frame...
Arif Mahmood, Zartash Afzal Uzmi, Sohaib Khan
ICRA
2007
IEEE
524views Robotics» more  ICRA 2007»
16 years 29 days ago
Concept and Design of A Fully Autonomous Sewer Pipe Inspection Mobile Robot "KANTARO"
— In current conventional method, the sewer pipe inspection is undertaken using a cable-tethered robot with an on-board video camera system, completely, tele-operated by human op...
Amir Ali Forough Nassiraei, Yoshinori Kawamura, Al...
IJCNN
2007
IEEE
16 years 28 days ago
Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
Gavin C. Cawley, Nicola L. C. Talbot
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