We propose a method for learning using a set of feature representations which retrieve different amounts of information at different costs. The goal is to create a more efficient ...
Anelia Angelova, Larry Matthies, Daniel M. Helmick...
We present a framework for learning features for visual discrimination. The learning system is exposed to a sequence of training images. Whenever it fails to recognize a visual co...
Traditional class and object encodings are difficult to use in practical type-preserving compilers because of the complexity of the encodings. We propose a simple typed intermedia...
Abstract. Partially ordered feature sets appear naturally in many classification settings with structured input instances, for example, when the data instances are graphs and a fe...
We investigate the task of compressing an image by using different probability models for compressing different regions of the image. In an earlier paper, we introduced a class of...