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JMLR
2006
156views more  JMLR 2006»
15 years 3 months ago
Large Scale Multiple Kernel Learning
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...
Sören Sonnenburg, Gunnar Rätsch, Christi...
109
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CVPR
2009
IEEE
1084views Computer Vision» more  CVPR 2009»
16 years 10 months ago
Describing Objects by their Attributes
We propose to shift the goal of recognition from naming to describing. Doing so allows us not only to name familiar objects, but also: to report unusual aspects of a familiar ob...
Ali Farhadi, David A. Forsyth, Derek Hoiem, Ian En...
AAAI
2008
15 years 5 months ago
A Case Study on the Critical Role of Geometric Regularity in Machine Learning
An important feature of many problem domains in machine learning is their geometry. For example, adjacency relationships, symmetries, and Cartesian coordinates are essential to an...
Jason Gauci, Kenneth O. Stanley
GG
2010
Springer
15 years 4 months ago
Multi-Amalgamation in Adhesive Categories
Abstract. Amalgamation is a well-known concept for graph transformations in order to model synchronized parallelism of rules with shared subrules and corresponding transformations....
Ulrike Golas, Hartmut Ehrig, Annegret Habel
ICASSP
2010
IEEE
14 years 10 months ago
Seamlets: Content-aware nonlinear wavelet transform
With the rise of mobile media devices, resizing an image or video to fit a screen of arbitrary size has become an important topic. In general, arbitrary resizing does not preserve...
David D. Conger, Hayder Radha, Mrityunjay Kumar