Transfer learning addresses the problem of how to leverage knowledge acquired in a source domain to improve the accuracy and speed of learning in a related target domain. This pap...
Lilyana Mihalkova, Tuyen N. Huynh, Raymond J. Moon...
Nonlinear dimensionality reduction is formulated here as the problem of trying to find a Euclidean feature-space embedding of a set of observations that preserves as closely as p...
Abstract: On mobile devices, navigating in high-resolution and high-density 2D information spaces, such as geographic maps, is a common and important task. In order to support this...
This paper takes phonetic information into account for data alignment in text-independent voice conversion. Hidden Markov Models are used for representing the phonetic structure o...
Meng Zhang, Jiaohua Tao, Jani Nurminen, Jilei Tian...
This paper presents experiments with the ORFEO ToolBox (OTB) developed by the CNES in the context of the Brussels project ARMURS about map updating. Depending on the availability ...
Christophe Simler, Charles Beumier, Christine Leig...