We propose a classification method based on a decision tree whose nodes consist of linear Support Vector Machines (SVMs). Each node defines a decision hyperplane that classifies p...
Speech act classification remains one of the challenges in natural language processing. This paper evaluates a classification system that assigns one of twelve dialog acts to an u...
Automatic document classification is an important step in organizing and mining documents. Information in documents is often conveyed using both text and images that complement ea...
Given a set of images of scenes containing multiple object categories (e.g. grass, roads, buildings) our objective is to discover these objects in each image in an unsupervised man...
Feature-based object classification, which distinguish a moving object to human or vehicle, is important in visual surveillance. In order to improve classification performance, in...