Titlebook: Similarity-Based Pattern Recognition; Second International Edwin Hancock,Marcello Pelillo Conference proceedings 2013 Springer-Verlag Berli

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Multi-task Averaging via Task Clustering,erved that leveraging data from related distributions can yield superior performance over learning from each distribution independently. Stein’s paradox showed that, in an average square error sense, it is better to estimate the means of . Gaussian random variables using data sampled from all of the

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Modeling and Detecting Community Hierarchies,e a theoretical model that explicitly formalizes both the tight connections within each community and the hierarchical nature of the communities. We further present an efficient algorithm that provably detects all the communities in our model. Experiments demonstrate that our definition successfully

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,Analysis of the Schrödinger Operator in the Context of Graph Characterization, behind this approach is two-fold. Firstly, the mathematically similar heat kernel has been used in the past for this same problem. And secondly, due to the quantum nature of the Schrödinger equation, our hypothesis is that it may be capable of providing richer sources of information. The two main f

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A Repeated Local Search Algorithm for BiClustering of Gene Expression Data, of genes that coregulate and coexpress only under a . of conditions. The traditional clustering algorithms cannot be applied for biclustering as one cannot measure the similarity between genes (or rows) and conditions (or columns) by normal geometric similarities. Identifying a network of collabora