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IV
2010
IEEE
140views Visualization» more  IV 2010»
14 years 8 months ago
GVIS: An Integrating Infrastructure for Adaptively Mashing up User Data from Different Sources
In this article we present an infrastructure for creating mash up visual representations of the user profile that combines data from different sources. We explored this approach ...
Luca Mazzola, Riccardo Mazza
ICML
2005
IEEE
15 years 10 months ago
Learning Gaussian processes from multiple tasks
We consider the problem of multi-task learning, that is, learning multiple related functions. Our approach is based on a hierarchical Bayesian framework, that exploits the equival...
Kai Yu, Volker Tresp, Anton Schwaighofer
DAWAK
2006
Springer
15 years 1 months ago
Learning Classifiers from Distributed, Ontology-Extended Data Sources
Abstract. There is an urgent need for sound approaches to integrative and collaborative analysis of large, autonomous (and hence, inevitably semantically heterogeneous) data source...
Doina Caragea, Jun Zhang 0002, Jyotishman Pathak, ...
ICSM
2007
IEEE
15 years 4 months ago
Smart Formatter: Learning Coding Style from Existing Source Code
The quality of identifiers, the coding style and formatting are important aspects that influence program understandings and maintenance. This is confirmed by the presence of se...
Filippo Corbo, Concettina Del Grosso, Massimiliano...
CVPR
2008
IEEE
15 years 11 months ago
Kernel-based learning of cast shadows from a physical model of light sources and surfaces for low-level segmentation
In background subtraction, cast shadows induce silhouette distortions and object fusions hindering performance of high level algorithms in scene monitoring. We introduce a nonpara...
André Zaccarin, Nicolas Martel-Brisson