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» Extracting Approximate Patterns
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CVPR
2008
IEEE
16 years 8 months ago
Large-scale manifold learning
This paper examines the problem of extracting lowdimensional manifold structure given millions of highdimensional face images. Specifically, we address the computational challenge...
Ameet Talwalkar, Sanjiv Kumar, Henry A. Rowley
FSTTCS
2009
Springer
16 years 1 months ago
Iterative Methods in Combinatorial Optimization
We describe a simple iterative method for proving a variety of results in combinatorial optimization. It is inspired by Jain’s iterative rounding method (FOCS 1998) for designing...
R. Ravi
CORR
2010
Springer
162views Education» more  CORR 2010»
15 years 5 months ago
Networked Computing in Wireless Sensor Networks for Structural Health Monitoring
Abstract—This paper studies the problem of distributed computation over a network of wireless sensors. While this problem applies to many emerging applications, to keep our discu...
Apoorva Jindal, Mingyan Liu
CG
2011
Springer
15 years 1 months ago
Exoskeleton: Curve network abstraction for 3D shapes
TON: Curve Network Abstraction for 3D Shapes Fernando de Goesa,∗ , Siome Goldensteinb , Mathieu Desbruna , Luiz Velhoc aCalifornia Institute of Technology, Pasadena, CA 91125, US...
Fernando de Goes, Siome Goldenstein, Mathieu Desbr...
JOCN
2010
74views more  JOCN 2010»
15 years 5 months ago
Connecting the Dots: How Local Structure Affects Global Integration in Infants
■ Glass patterns are moirés created from a sparse random-dot field paired with its spatially shifted copy. Because discrimination of these patterns is not based on local featur...
Melanie Palomares, Mark W. Pettet, Vladimir Vildav...