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CGF
2010
165views more  CGF 2010»
15 years 12 days ago
Hierarchical Structure Recovery of Point-Sampled Surfaces
We focus on the class of regular models defined by Várady et al. for reverse engineering purposes. Given a 3D surface M represented through a dense set of points, we present a n...
Marco Attene, Giuseppe Patanè
IAT
2008
IEEE
15 years 8 months ago
An Ontology-Based Approach to Text Summarization
Extractive text summarization aims to create a condensed version of one or more source documents by selecting the most informative sentences. Research in text summarization has th...
Leonhard Hennig, Winfried Umbrath, Robert Wetzker
TIP
2010
155views more  TIP 2010»
14 years 12 months ago
Laplacian Regularized D-Optimal Design for Active Learning and Its Application to Image Retrieval
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...
Xiaofei He
CIKM
2007
Springer
15 years 7 months ago
Developing learning strategies for topic-based summarization
Most up-to-date well-behaved topic-based summarization systems are built upon the extractive framework. They score the sentences based on the associated features by manually assig...
Ouyang You, Sujian Li, Wenjie Li
JMLR
2010
185views more  JMLR 2010»
14 years 8 months ago
Multiple Kernel Learning on the Limit Order Book
Simple features constructed from order book data for the EURUSD currency pair were used to construct a set of kernels. These kernels were used both individually and simultaneously...
Tristan Fletcher, Zakria Hussain, John Shawe-Taylo...