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113
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AAAI
2010
15 years 4 months ago
G-Optimal Design with Laplacian Regularization
In many real world applications, labeled data are usually expensive to get, while there may be a large amount of unlabeled data. To reduce the labeling cost, active learning attem...
Chun Chen, Zhengguang Chen, Jiajun Bu, Can Wang, L...
198
Voted
CVPR
2012
IEEE
13 years 5 months ago
A learning-based framework for depth ordering
Depth ordering is instrumental for understanding the 3D geometry of an image. We as humans are surprisingly good ordering even with abstract 2D line drawings. In this paper we pro...
Zhaoyin Jia, Andrew C. Gallagher, Yao-Jen Chang, T...
122
Voted
BMCBI
2008
170views more  BMCBI 2008»
15 years 2 months ago
A genetic approach for building different alphabets for peptide and protein classification
Background: In this paper, it is proposed an optimization approach for producing reduced alphabets for peptide classification, using a Genetic Algorithm. The classification task i...
Loris Nanni, Alessandra Lumini
144
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COMPGEOM
2003
ACM
15 years 8 months ago
Cost-driven octree construction schemes: an experimental study
Given a scene consisting of objects, ray shooting queries answer with the first object encountered by a given ray, and are used in ray tracing and radiosity for rendering photo-r...
Boris Aronov, Hervé Brönnimann, Allen ...
147
Voted
MOBIQUITOUS
2007
IEEE
15 years 9 months ago
Minimum Disruption Service Composition and Recovery over Mobile Ad Hoc Networks
— The dynamic nature of mobile ad hoc networks poses fundamental challenges to the design of service composition schemes that can minimize the effect of service disruptions. Alth...
Shanshan Jiang, Yuan Xue, Douglas C. Schmidt