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» Advances in metric embedding theory
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SMI
2006
IEEE
138views Image Analysis» more  SMI 2006»
14 years 1 months ago
Curves-on-Surface: A General Shape Comparison Framework
We develop a new surface matching framework to handle surface comparisons based on a novel mathematical analysis of curves on surfaces, and propose a unique signature for any clos...
Xin Li, Ying He 0001, Xianfeng Gu, Hong Qin
COMPGEOM
2011
ACM
12 years 11 months ago
Comparing distributions and shapes using the kernel distance
Starting with a similarity function between objects, it is possible to define a distance metric (the kernel distance) on pairs of objects, and more generally on probability distr...
Sarang C. Joshi, Raj Varma Kommaraju, Jeff M. Phil...

Book
640views
15 years 6 months ago
Introduction to Pattern Recognition
"Pattern recognition techniques are concerned with the theory and algorithms of putting abstract objects, e.g., measurements made on physical objects, into categories. Typical...
Sargur Srihari
CIKM
2008
Springer
13 years 9 months ago
On low dimensional random projections and similarity search
Random projection (RP) is a common technique for dimensionality reduction under L2 norm for which many significant space embedding results have been demonstrated. However, many si...
Yu-En Lu, Pietro Liò, Steven Hand
ECRTS
2003
IEEE
14 years 22 days ago
Establishing Timing Requirements and Control Attributes for Control Loops in Real-Time Systems
Advances in scheduling theory have given designers of control systems greater flexibility over their choice of timing requirements. This could lead to systems becoming more respon...
Iain Bate, Peter Nightingale, Anton Cervin