— In this paper, we propose a new architecture that can extract information of numerous objects in an image at highspeed. Various characteristics can be obtained from the image m...
Adaptive background modeling/subtraction techniques are popular, in particular, because they are able to cope with background variations that are due to lighting variations. Unfor...
Leonid Taycher, John W. Fisher III, Trevor Darrell
In this paper we extend a method that uses image patch histograms and discriminative training to recognize objects in cluttered scenes. The method generalizes and performs well for...
Abstract. We present a separate compositional analysis for objectoriented languages. We show how a generic static analysis of a context that uses an object can be split into two se...
We introduce the Multiple Relationship Similarity Spreading Algorithm (MRSSA) to enhance IR effectiveness. This method has similarity computed in an iterative “spreading” fash...