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» A comparison of two approaches to pseudorandomness
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TMM
2002
104views more  TMM 2002»
14 years 11 months ago
Spatial contextual classification and prediction models for mining geospatial data
Modeling spatial context (e.g., autocorrelation) is a key challenge in classification problems that arise in geospatial domains. Markov random fields (MRF) is a popular model for i...
Shashi Shekhar, Paul R. Schrater, Ranga Raju Vatsa...
TROB
2002
145views more  TROB 2002»
14 years 11 months ago
Distributed multirobot localization
In this paper, we present a new approach to the problem of simultaneously localizing a group of mobile robots capable of sensing one another. Each of the robots collects sensor dat...
Stergios I. Roumeliotis, George A. Bekey
PR
2007
180views more  PR 2007»
14 years 11 months ago
Hybrid image matching combining Hausdorff distance with normalized gradient matching
Image matching has been a central problem in computer vision and image processing for decades. Most of the previous approaches to image matching can be categorized into the intens...
Chyuan-Huei Thomas Yang, Shang-Hong Lai, Long-Wen ...
TMI
2010
181views more  TMI 2010»
14 years 10 months ago
In Vivo Impedance Imaging With Total Variation Regularization
—We show that electrical impedance tomography (EIT) image reconstruction algorithms with regularization based on the Total Variation (TV) functional are suitable for in vivo imag...
Andrea Borsic, Brad M. Graham, Andy Adler, William...
ACL
2010
14 years 10 months ago
Generating Templates of Entity Summaries with an Entity-Aspect Model and Pattern Mining
In this paper, we propose a novel approach to automatic generation of summary templates from given collections of summary articles. This kind of summary templates can be useful in...
Peng Li, Jing Jiang, Yinglin Wang