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ICASSP
2010
IEEE
13 years 4 months ago
Hierarchical dictionary learning for invariant classification
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
Leah Bar, Guillermo Sapiro
CVPR
2010
IEEE
14 years 23 days ago
Supervised Translation-Invariant Sparse Coding
In this paper, we propose a novel supervised hierarchical sparse coding model based on local image descriptors for classification tasks. The supervised dictionary training is perf...
Jianchao Yang, Kai Yu, Thomas Huang
CVPR
2009
IEEE
14 years 11 months ago
Echocardiogram View Classification using Edge Filtered Scale-invariant Motion Features
In an 2D echocardiogram exam, an ultrasound probe samples the heart with 2D slices. Changing the orientation and position on the probe changes the slice viewpoint, altering the ...
Ritwik Kumar, Fei Wang, David Beymer, Tanveer Fath...
WWW
2005
ACM
14 years 5 months ago
Automatically learning document taxonomies for hierarchical classification
While several hierarchical classification methods have been applied to web content, such techniques invariably rely on a pre-defined taxonomy of documents. We propose a new techni...
Kunal Punera, Suju Rajan, Joydeep Ghosh
PAMI
2007
193views more  PAMI 2007»
13 years 3 months ago
Robust Object Recognition with Cortex-Like Mechanisms
—We introduce a new general framework for the recognition of complex visual scenes, which is motivated by biology: We describe a hierarchical system that closely follows the orga...
Thomas Serre, Lior Wolf, Stanley M. Bileschi, Maxi...