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IPTPS
2005
Springer
16 years 15 days ago
A Statistical Theory of Chord Under Churn
Most earlier studies of DHTs under churn have either depended on simulations as the primary investigation tool, or on establishing bounds for DHTs to function. In this paper, we pr...
Supriya Krishnamurthy, Sameh El-Ansary, Erik Aurel...
FOCS
1999
IEEE
15 years 11 months ago
An Algorithmic Theory of Learning: Robust Concepts and Random Projection
We study the phenomenon of cognitive learning from an algorithmic standpoint. How does the brain effectively learn concepts from a small number of examples despite the fact that e...
Rosa I. Arriaga, Santosh Vempala
CIKM
1997
Springer
15 years 11 months ago
Learning Belief Networks from Data: An Information Theory Based Approach
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Jie Cheng, David A. Bell, Weiru Liu
ECCV
2006
Springer
15 years 10 months ago
Wavelet-Based Super-Resolution Reconstruction: Theory and Algorithm
We present an analysis and algorithm for the problem of super-resolution imaging, that is the reconstruction of HR (high-resolution) images from a sequence of LR (lowresolution) im...
Hui Ji, Cornelia Fermüller
ICCV
1995
IEEE
15 years 10 months ago
A Theory of Specular Surface Geometry
Atheoreticalframeworkisintroducedfortheperceptionofspecularsurfacegeometry.Whenanobserver moves in three-dimensional space, real scene features such as surface markings remain stat...
Michael Oren, Shree K. Nayar