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» On the Learnability of Vector Spaces
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JMIV
1998
112views more  JMIV 1998»
14 years 9 months ago
Differential and Integral Geometry of Linear Scale-Spaces
Linear scale-space theory provides a useful framework to quantify the differential and integral geometry of spatio-temporal input images. In this paper that geometry comes about by...
Alfons H. Salden, Bart M. ter Haar Romeny, Max A. ...
VISUALIZATION
1998
IEEE
15 years 2 months ago
Extremal feature extraction from 3-D vector and noisy scalar fields
We are interested in feature extraction from volume data in terms of coherent surfaces and 3-D space curves. The input can be an inaccurate scalar or vector field, sampled densely...
Chi-Keung Tang, Gérard G. Medioni
CORR
2010
Springer
178views Education» more  CORR 2010»
14 years 8 months ago
Enumerative Algorithms for the Shortest and Closest Lattice Vector Problems in Any Norm via M-Ellipsoid Coverings
We give an algorithm for solving the exact Shortest Vector Problem in n-dimensional lattices, in any norm, in deterministic 2O(n) time (and space), given poly(n)-sized advice that...
Daniel Dadush, Chris Peikert, Santosh Vempala
ICML
1998
IEEE
15 years 10 months ago
Feature Selection via Concave Minimization and Support Vector Machines
Computational comparison is made between two feature selection approaches for nding a separating plane that discriminates between two point sets in an n-dimensional feature space ...
Paul S. Bradley, Olvi L. Mangasarian
MVA
1990
123views Computer Vision» more  MVA 1990»
14 years 11 months ago
Randomized Hough Transform (RHT) in Engineering Drawing Vectorization System
Abstract When the data is processed from the digitized drawThis paper presents how the recently presented Randomized IIough Transform (RHT) method can be used as a part of an engin...
Pekka Kultanen, Erkki Oja, Lei Xu