Approximate Nearest Neighbor (ANN) methods such as Locality Sensitive Hashing, Semantic Hashing, and Spectral Hashing, provide computationally ecient procedures for nding objects...
— We target M-ary data sequence estimation over time-variant frequency selective fading channels subject to cochannel interference (CCI). A novel joint reduced state sequence est...
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...
GP uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees, and GP searches t...
Social tags describe images from many aspects including the visual content observable from the images, the context and usage of images, user opinions and others. Not all tags are ...