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» Learning with Kernels and Logical Representations
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105
Voted
NIPS
2004
15 years 1 months ago
Learning Efficient Auditory Codes Using Spikes Predicts Cochlear Filters
The representation of acoustic signals at the cochlear nerve must serve a wide range of auditory tasks that require exquisite sensitivity in both time and frequency. Lewicki (2002...
Evan C. Smith, Michael S. Lewicki
IPPS
2007
IEEE
15 years 6 months ago
Using Rewriting Logic to Match Patterns of Instructions from a Compiler Intermediate Form to Coarse-Grained Processing Elements
This paper presents a new and retargetable method to identify patterns of instructions with direct support in coarsegrained processing elements (PEs). The method uses a three-addr...
Carlos Morra, João M. P. Cardoso, Jürg...
103
Voted
CVPR
2010
IEEE
15 years 3 months ago
Large-Scale Image Categorization with Explicit Data Embedding
Kernel machines rely on an implicit mapping of the data such that non-linear classification in the original space corresponds to linear classification in the new space. As kernel ...
Florent Perronnin, Jorge Sanchez, Yan Liu
ICCV
2011
IEEE
14 years 12 days ago
Sparse Dictionary-based Representation and Recognition of Action Attributes
We present an approach for dictionary learning of action attributes via information maximization. We unify the class distribution and appearance information into an objective func...
Qiang Qiu, Zhuolin Jiang, Rama Chellappa
WSOM
2009
Springer
15 years 7 months ago
Towards Semi-supervised Manifold Learning: UKR with Structural Hints
We explore generic mechanisms to introduce structural hints into the method of Unsupervised Kernel Regression (UKR) in order to learn representations of data sequences in a semi-su...
Jan Steffen, Stefan Klanke, Sethu Vijayakumar, Hel...