In this paper, we make a study on three Linear Discriminant Analysis (LDA) based methods: Regularized Discriminant Analysis (RDA), Discriminant Common Vectors (DCV) and Maximal Ma...
We present a new method for training deformable models. Assume that we have training images where part locations have been labeled. Typically, one fits a model by maximizing the l...
This paper is concerned with the problem of Imbalanced Classification (IC) in web mining, which often arises on the web due to the "Matthew Effect". As web IC applicatio...
This report is part of the seminar Digital Information Curation held by Prof. Dr. Marc H. Scholl and Dr. Andr?e Seifert during the winter term 2005/06. Its intention is to summari...
Peter Buneman, Sanjeev Khanna, Keishi Tajima, Wang...
This paper addresses the issue of Web document summarization. As textual content of Web documents is often scarce or irrelevant and existing summarization techniques are based on ...