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IEEEPACT
1998
IEEE
15 years 11 months ago
A Matrix-Based Approach to the Global Locality Optimization Problem
Global locality analysis is a technique for improving the cache performance of a sequence of loop nests through a combination of loop and data layout optimizations. Pure loop tran...
Mahmut T. Kandemir, Alok N. Choudhary, J. Ramanuja...
CVPR
2010
IEEE
15 years 4 months ago
Global and local isometry-invariant descriptor for 3D shape comparison and partial matching
In this paper, based on manifold harmonics, we propose a novel framework for 3D shape similarity comparison and partial matching. First, we propose a novel symmetric meanvalue rep...
Huai-Yu Wu, Hongbin Zha, Tao Luo, Xulei Wang, Song...
MICCAI
2001
Springer
15 years 11 months ago
Retrospective Evaluation of Inter-subject Brain Registration
Although numerous methods to register brains of different individuals have been proposed, no work has been done, as far as we know, to evaluate and compare objectively the performa...
Pierre Hellier, Christian Barillot, Isabelle Corou...
ICIAP
2005
ACM
16 years 6 months ago
A New Efficient Method for Producing Global Affine Invariants
This paper introduces a new efficient way for computing affine invariant features from gray-scale images. The method is based on a novel image transform which produces infinitely m...
Esa Rahtu, Janne Heikkilä, Mikko Salo
WPES
2004
ACM
16 years 1 days ago
Assessing global disclosure risk in masked microdata
In this paper, we introduce a general framework for microdata and three disclosure risk measures (minimal, maximal and weighted). We classify the attributes from a given microdata...
Traian Marius Truta, Farshad Fotouhi, Daniel C. Ba...