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TSP
2010
13 years 2 months ago
Efficient Maximum Entropy Reconstruction of Nuclear Magnetic Resonance T1-T2 Spectra
Abstract--This paper deals with the reconstruction of T1-T2 correlation spectra in nuclear magnetic resonance relaxometry. The ill-posed character and the large size of this invers...
Emilie Chouzenoux, Saïd Moussaoui, Jér...
MM
2005
ACM
122views Multimedia» more  MM 2005»
14 years 1 months ago
Image clustering with tensor representation
We consider the problem of image representation and clustering. Traditionally, an n1 × n2 image is represented by a vector in the Euclidean space Rn1×n2 . Some learning algorith...
Xiaofei He, Deng Cai, Haifeng Liu, Jiawei Han
MM
2004
ACM
167views Multimedia» more  MM 2004»
14 years 29 days ago
Learning an image manifold for retrieval
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
Xiaofei He, Wei-Ying Ma, HongJiang Zhang
CVPR
2004
IEEE
14 years 9 months ago
Learning a Restricted Bayesian Network for Object Detection
Many classes of images have the characteristics of sparse structuring of statistical dependency and the presence of conditional independencies among various groups of variables. S...
Henry Schneiderman
ICCV
1999
IEEE
13 years 12 months ago
Epipolar Geometry Estimation by Tensor Voting in 8D
We present a novel, efficient, initializationfree approach to the problem of epipolar geometry estimation, by formulating it as one of hyperplane inference from a sparse and noisy...
Chi-Keung Tang, Gérard G. Medioni, Mi-Suen ...