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» Structural Modelling with Sparse Kernels
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NIPS
2004
14 years 11 months ago
Sparse Coding of Natural Images Using an Overcomplete Set of Limited Capacity Units
It has been suggested that the primary goal of the sensory system is to represent input in such a way as to reduce the high degree of redundancy. Given a noisy neural representati...
Eizaburo Doi, Michael S. Lewicki
EEE
2005
IEEE
15 years 3 months ago
Learning the Kernel Matrix for XML Document Clustering
The rapid growth of XML adoption has urged for the need of a proper representation for semi-structured documents, where the document structural information has to be taken into ac...
Jianwu Yang, William Kwok-Wai Cheung, Xiaoou Chen
ICCV
2011
IEEE
13 years 10 months ago
A Graph-matching Kernel for Object Categorization
This paper addresses the problem of category-level image classification. The underlying image model is a graph whose nodes correspond to a dense set of regions, and edges reflec...
Olivier Duchenne, Armand Joulin, Jean Ponce
ICASSP
2011
IEEE
14 years 1 months ago
A general Bayesian algorithm for visual object tracking based on sparse features
This paper describes a Bayesian algorithm for rigid/non-rigid 2D visual object tracking based on sparse image features. The algorithm is inspired by the way human visual cortex se...
Mauricio Soto Alvarez, Carlo S. Regazzoni
CORR
2012
Springer
220views Education» more  CORR 2012»
13 years 5 months ago
Sparse Topical Coding
We present sparse topical coding (STC), a non-probabilistic formulation of topic models for discovering latent representations of large collections of data. Unlike probabilistic t...
Jun Zhu, Eric P. Xing