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» Feature Selection in Clustering Problems
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ICTAI
2008
IEEE
14 years 3 months ago
Feature Exploration for Mining Coronal Loops from Solar Images
1 Coronal loops are especially important in analyzing some important phenomena related to the Sun such as the controversial coronal heating problem. The analysis requires astrophys...
Nurcan Durak, Olfa Nasraoui
NLPRS
2001
Springer
14 years 1 months ago
Statistical Parsing of Dutch using Maximum Entropy Models with Feature Merging
In this project report we describe work in statistical parsing using the maximum entropy technique and the Alpino language analysis system for Dutch. A major difficulty in this d...
Tony Mullen, Rob Malouf, Gertjan van Noord
EMNLP
2009
13 years 6 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
ICIP
2005
IEEE
14 years 2 months ago
Natural contrast statistics and the selection of visual fixations
In this paper we address the problem of visual surveillance, which we define as the problem of optimally extracting information from the visual scene with a fixating, foveated ima...
Raghu G. Raj, Wilson S. Geisler, Robert A. Frazor,...
EMNLP
2011
12 years 8 months ago
Generating Aspect-oriented Multi-Document Summarization with Event-aspect model
In this paper, we propose a novel approach to automatic generation of aspect-oriented summaries from multiple documents. We first develop an event-aspect LDA model to cluster sen...
Peng Li, Yinglin Wang, Wei Gao, Jing Jiang