We propose a novel approach to learn and recognize natural scene categories. Unlike previous work [9, 17], it does not require experts to annotate the training set. We represent t...
Fei-Fei Li 0002, Pietro Perona, California Institu...
We propose a general, powerful framework of type systems for the -calculus, and show that we can obtain as its instances a variety of type systems guaranteeing non-trivial propert...
We present a method for detecting and parsing buildings from unorganized 3D point clouds into a compact, hierarchical representation that is useful for high-level tasks. The input...
Multimedia applications are characterized by a large number of data accesses and complex array index manipulations. The built-in address decoder in the RAM memory model commonly u...
Sambuddhi Hettiaratchi, Peter Y. K. Cheung, Thomas...
This paper proposes a method for computing fast approximations to support vector decision functions in the field of object detection. In the present approach we are building on an...