Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structur...
Principal Component Analysis (PCA) has been widely used for the representation of shape, appearance, and motion. One drawback of typical PCA methods is that they are least squares...
This paper presents a biologically motivated model for low and mid-level vision tasks and its interpretation in computer vision terms. Initially we briefly present the biologically...
Abstract. An important class of soft real-time applications require dynamic allocation of computational resources in order to comply with their quality of service (QoS) requirement...
Modern FPGA devices, which include (multiple) processor core(s) as diffused IP on the silicon die, provide an excellent platform for developing custom multiprocessor systems-on-pr...
Jason Agron, Wesley Peck, Erik Anderson, David L. ...