Clustering is a basic task in a variety of machine learning applications. Partitioning a set of input vectors into compact, wellseparated subsets can be severely affected by the p...
Pedro A. Forero, Vassilis Kekatos, Georgios B. Gia...
In this paper we consider the problem of detecting multiple point-like targets in the presence of steering vector mismatches and Gaussian disturbance with unknown covariance matri...
Chengpeng Hao, Francesco Bandiera, Jun Yang, Chaoh...
In many topic identification applications, supervised training labels are indirectly related to the semantic content of the documents being classified. For example, many topical...
Although propositional satisfiability (SAT) is NP-complete, state-of-the-art SAT solvers are able to solve large, practical instances. The concept of backdoors has been introduced...
In this paper an agent-based analysis is made of patterns in crowd behaviour, in particular to simulate a real-life incident that took place on May 4, 2010 in Amsterdam. As a basis...
Tibor Bosse, Mark Hoogendoorn, Michel C. A. Klein,...