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TKDE
2012
270views Formal Methods» more  TKDE 2012»
13 years 7 months ago
Low-Rank Kernel Matrix Factorization for Large-Scale Evolutionary Clustering
—Traditional clustering techniques are inapplicable to problems where the relationships between data points evolve over time. Not only is it important for the clustering algorith...
Lijun Wang, Manjeet Rege, Ming Dong, Yongsheng Din...
EMNLP
2009
15 years 2 months ago
Reverse Engineering of Tree Kernel Feature Spaces
We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...
Daniele Pighin, Alessandro Moschitti
EMNLP
2009
15 years 2 months ago
EEG responds to conceptual stimuli and corpus semantics
Mitchell et al. (2008) demonstrated that corpus-extracted models of semantic knowledge can predict neural activation patterns recorded using fMRI. This could be a very powerful te...
Brian Murphy, Marco Baroni, Massimo Poesio
EMNLP
2009
15 years 2 months ago
Convolution Kernels on Constituent, Dependency and Sequential Structures for Relation Extraction
This paper explores the use of innovative kernels based on syntactic and semantic structures for a target relation extraction task. Syntax is derived from constituent and dependen...
Truc-Vien T. Nguyen, Alessandro Moschitti, Giusepp...
ICMCS
2009
IEEE
279views Multimedia» more  ICMCS 2009»
15 years 2 months ago
Context saliency based image summarization
Image summarization is to determine a smaller but faithful representation of the original visual content. In this paper, we propose a context saliency based image summarization ap...
Liang Shi, Jinqiao Wang, Lei Xu, Hanqing Lu, Chang...