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» A General Small Cancellation Theory
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MICCAI
2000
Springer
13 years 11 months ago
Small Sample Size Learning for Shape Analysis of Anatomical Structures
We present a novel approach to statistical shape analysis of anatomical structures based on small sample size learning techniques. The high complexity of shape models used in medic...
Polina Golland, W. Eric L. Grimson, Martha Elizabe...
PDC
2004
ACM
14 years 28 days ago
From small scale to large scale user participation: a case study of participatory design in e-government systems
Most experiments with participative design are with small scale, stand alone and not very strategic applications of ICT in organizations. However, modern ICT applications are incr...
Anne-Marie Oostveen, Peter Van den Besselaar
FOCS
1999
IEEE
13 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
CCR
2005
103views more  CCR 2005»
13 years 7 months ago
Part III: routers with very small buffers
Internet routers require buffers to hold packets during times of congestion. The buffers need to be fast, and so ideally they should be small enough to use fast memory technologie...
Mihaela Enachescu, Yashar Ganjali, Ashish Goel, Ni...
COMPGEOM
2007
ACM
13 years 11 months ago
An optimal generalization of the centerpoint theorem, and its extensions
We prove an optimal generalization of the centerpoint theorem: given a set P of n points in the plane, there exist two points (not necessarily among input points) that hit all con...
Saurabh Ray, Nabil H. Mustafa