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...
We introduce the Tsallis divergence error measure in the context of pLSA matrix and tensor decompositions showing much improved performance in the presence of noise. The focus of ...
Abstract—This paper describes T-SIZE, a peer counting protocol that is based on gossip-based aggregation. Peer counting has become increasingly important as the size of the netwo...
Abstract— This paper studies the robust stability and stabilization problems for switched linear discrete-time systems. The parameter uncertainties in the system under considerat...
We describe a variation of the iterative closest point (ICP) algorithm for aligning two point sets under a set of transformations. Our algorithm is superior to previous algorithms...