We present a probabilistic framework for recognizing objects in images of cluttered scenes. Hundreds of objects may be considered and searched in parallel. Each object is learned f...
When building an application that requires object class recognition, having enough data to learn from is critical for good performance, and can easily determine the success or fai...
A novel algorithm is described for coding objects in video compression systems which gives complete control over the bit allocation to the video objects. The method is evaluated b...
SystemC is a popular modeling language which can be used to specify systems at bstraction level. Currently, SystemC tools can not cope with SystemC models for which the module hie...
Digital technology is increasingly deployed in safety-critical situations. This calls for systematic design and verification methodologies that can cope with three major sources o...