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» The computational complexity of choice sets
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JISE
2010
144views more  JISE 2010»
15 years 1 months ago
Variant Methods of Reduced Set Selection for Reduced Support Vector Machines
In dealing with large datasets the reduced support vector machine (RSVM) was proposed for the practical objective to overcome the computational difficulties as well as to reduce t...
Li-Jen Chien, Chien-Chung Chang, Yuh-Jye Lee
CORR
2007
Springer
110views Education» more  CORR 2007»
15 years 6 months ago
Information-theoretic limits on sparsity recovery in the high-dimensional and noisy setting
The problem of recovering the sparsity pattern of a fixed but unknown vector β∗ ∈ Rp based on a set of n noisy observations arises in a variety of settings, including subset...
Martin J. Wainwright
URBAN
2008
128views more  URBAN 2008»
15 years 6 months ago
Discerning landslide susceptibility using rough sets
Rough set theory has been primarily known as a mathematical approach for analysis of a vague description of objects. This paper explores the use of rough set theory to manage the ...
Pece V. Gorsevski, Piotr Jankowski

Presentation
2175views
17 years 7 months ago
Robust Robotic Path Planning Using Level Sets
In robotic navigation, path planning is aimed at getting the optimum collision-free path between a starting and target locations. The optimality criterion depends on the surround...
M. Sabry Hassouna
ISBI
2004
IEEE
16 years 7 months ago
Combining Fuzzy Logic and Level Set Methods for 3D MRI Brain Segmentation
We propose to segment volumetric brain structures with a level set method including a fuzzy decision in the design of the evolution force. The role of fuzzy logic is to fuse gradi...
Christian Barillot, Cybèle Ciofolo, Pierre ...