Abstract. Discriminative and generative methods provide two distinct approaches to machine learning classification. One advantage of generative approaches is that they naturally mo...
We describe a general method for building cascade classifiers from part-based deformable models such as pictorial structures. We focus primarily on the case of star-structured mod...
Pedro Felzenszwalb, Ross Girshick, David McAlleste...
Abstract. An important task in object recognition is to enable algorithms to categorize objects under arbitrary poses in a cluttered 3D world. A recent paper by Savarese & Fei-...
UML is now widely accepted as the standard modeling language for software construction. The Class Diagram is its core view, having well formed semantics and providing the backbone...
We present new constructions for (n, w, ) optical orthogonal codes (OOC) using techniques from finite projective geometry. In one case codewords correspond to (q - 1)-arcs contain...