We introduce the OneClassMaxMinOver (OMMO) algorithm for the problem of one-class support vector classification. The algorithm is extremely simple and therefore a convenient choice for practitioners. We prove that in the hard-margin case the algorithm converges with O(1/ √ t) to the maximum margin solution of the support vector approach for one-class classification introduced by Schölkopf et al...

The increasing interest in supporting multiparty remote collaboration has created both opportunities and challenges for the research community. The research reported here aims to develop tools to support multiparty remote collaborations and to study human behaviors using these tools. In this paper we first introduce an experimental multimedia (video and audio) system with which an expert can co...

Keywords: parametric, classifier, similarity-based. A parametric classifier builds class models and classifies test points as being from classes that they are most likely to belong to, given the class models. Over the summer, I worked with Professor to develop a parametric classifier that builds models based on only the similarity between samples. The parametric clas-sifier was compared to othe...

This paper considers the embeddability of general concept classes in Euclidean half spaces. By embedding in half spaces we refer to a mapping from some concept class to half spaces so that the labeling given to points in the instance space is retained. The existence of an embedding for some class may be used to learn it using an algorithm for the class it is embedded into. The Support Vector Ma...

Remote sensing techniques have been commonly used to map land cover and land use types. For many applications, users may only be interested in a specific land class in an image such as extracting urban areas from an image, or retrieving dead trees from a forest. This could be referred to as a one-class classification problem. In addition, with the increasing availability of high spatial resolut...

Zinc binding proteins play an important role in biological function, many researches focus on the area of zinc-binding sites. Taking into account the advantages of support vector machine, based on the different tools for the prediction of zinc-binding sites, a novel predictor named combZincPred was proposed to integrate these result scores. Tested on a non-redundant dataset, AURPC of our method...