168 search results - page 21 / 34 » Multi-label Multiple Kernel Learning |
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ICMLA
2010
14 years 7 months ago
2010
Abstract--In this paper we propose a probabilistic classification algorithm with a novel Dynamic Time Warping (DTW) kernel to automatically recognize flight calls of different spec...
CVPR
2010
IEEE
14 years 7 months ago
2010
IEEE
Our goal is to fit the multiple instances (or structures) of a generic model existing in data. Here we propose a novel model selection scheme to estimate the number of genuine str...
NIPS
2008
14 years 11 months ago
2008
In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. These representa...
SIGIR
2004
ACM
15 years 3 months ago
2004
ACM
This paper proposes a novel, unified, and systematic approach to combine collaborative and content-based filtering for ranking and user preference prediction. The framework inco...
NIPS
2007
14 years 11 months ago
2007
Hierarchical penalization is a generic framework for incorporating prior information in the fitting of statistical models, when the explicative variables are organized in a hiera...