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Recent methods for learning vector space representations of words have succeeded in capturing fine-grained semantic and syntactic… Expand Hashing is becoming increasingly popular for efficient nearest neighbor search in massive databases. However, learning short… Expand This paper presents a method for detection of steganographic methods that embed in the spatial domain by adding a low-amplitude… Expand This paper presents a method for detection of steganographic methods that embed in the spatial domain by adding a low-amplitude… Expand Digraphs with doubly stochastic adjacency matrices play an essential role in a variety of cooperative control problems including… Expand Consider any random graph model where potential edges appear independently, with possibly different probabilities, and assume… Expand We propose a novel method for constructing wavelet transforms of functions defined on the vertices of an arbitrary finite… Expand In this paper we present a new methodology of class discovery and clustering validation tailored to the task of analyzing gene… Expand Abstract Eigenvectors of adjacency matrices are useful as measures of centrality or of status. However, they are misapplied to… Expand An approximate solution to the weighted-graph-matching problem is discussed for both undirected and directed graphs. The weighted… Expand