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ML
2006
ACM
121views Machine Learning» more  ML 2006»
15 years 3 months ago
Model-based transductive learning of the kernel matrix
This paper addresses the problem of transductive learning of the kernel matrix from a probabilistic perspective. We define the kernel matrix as a Wishart process prior and construc...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
GECCO
2007
Springer
187views Optimization» more  GECCO 2007»
15 years 10 months ago
Defining implicit objective functions for design problems
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
Sean Hanna
DAGM
2010
Springer
15 years 4 months ago
Computational TMA Analysis and Cell Nucleus Classification of Renal Cell Carcinoma
Abstract. We consider an automated processing pipeline for tissue micro array analysis (TMA) of renal cell carcinoma. It consists of several consecutive tasks, which can be mapped ...
Peter J. Schüffler, Thomas J. Fuchs, Cheng So...
ICML
2009
IEEE
16 years 4 months ago
Bayesian clustering for email campaign detection
We discuss the problem of clustering elements according to the sources that have generated them. For elements that are characterized by independent binary attributes, a closedform...
Peter Haider, Tobias Scheffer
ICALT
2009
IEEE
15 years 10 months ago
Synchronised Annotation of Multimedia
Multimedia has become technically easier to create (e.g. recording lectures) but while users can easily bookmark, search, link to, or tag the WHOLE of a podcast or video recording...
Mike Wald, Gary Wills, David E. Millard, Lester Gi...