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» Structural Modelling with Sparse Kernels
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ICCV
2011
IEEE
13 years 10 months 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
NAACL
2010
14 years 7 months ago
Syntactic/Semantic Structures for Textual Entailment Recognition
In this paper, we describe an approach based on off-the-shelf parsers and semantic resources for the Recognizing Textual Entailment (RTE) challenge that can be generally applied t...
Yashar Mehdad, Alessandro Moschitti, Fabio Massimo...
SIAMIS
2008
211views more  SIAMIS 2008»
14 years 9 months ago
Sparse and Redundant Modeling of Image Content Using an Image-Signature-Dictionary
Modeling signals by sparse and redundant representations has been drawing considerable attention in recent years. Coupled with the ability to train the dictionary using signal exam...
Michal Aharon, Michael Elad
DAC
2006
ACM
15 years 10 months ago
Fast analysis of structured power grid by triangularization based structure preserving model order reduction
In this paper, a Triangularization Based Structure preserving (TBS) model order reduction is proposed to verify power integrity of on-chip structured power grid. The power grid is...
Hao Yu, Yiyu Shi, Lei He
SIGIR
2005
ACM
15 years 3 months ago
Text classification with kernels on the multinomial manifold
Support Vector Machines (SVMs) have been very successful in text classification. However, the intrinsic geometric structure of text data has been ignored by standard kernels commo...
Dell Zhang, Xi Chen, Wee Sun Lee