Abstract. This paper presents a probabilistic model for combining cluster ensembles utilizing information theoretic measures. Starting from a co-association matrix which summarizes...
Classification with only one labeled example per class is a challenging problem in machine learning and pattern recognition. While there have been some attempts to address this pr...
Abstract. Because Remote Procedure Calls do not compose efficiently, designers of distributed object systems use Data Transfer and Remote Fac?ade patterns to create large-granulari...
Ali Ibrahim, Yang Jiao, Eli Tilevich, William R. C...
This paper proposes a generic framework for monitoring continuous spatial queries over moving objects. The framework distinguishes itself from existing work by being the first to ...
We present a method to segment a collection of unlabeled images while exploiting automatically discovered appearance patterns shared between them. Given an unlabeled pool of multi...