Recent technological advances have opened up a wide range of distributed real-time applications involving battery-driven embedded devices with local processing and wireless communi...
G. Sudha Anil Kumar, Govindarasu Manimaran, Zhengd...
The application of semi-supervised learning algorithms to large scale vision problems suffers from the bad scaling behavior of most methods. Based on the Expectation Regularization...
Compressive sensing (CS) has received a lot of interest due to its compression capability and lack of complexity on the sensor side. In this paper, we present a study of three sam...
An embedded wavelet coder algorithm which adopts different threshold values in different subbands is proposed in this work. The new image coder, called the multi-threshold wavelet...
: This paper presents the "situation manager", a tool that includes both a language and an efficient run-time execution mechanism, aimed at reducing the complexity of act...