Zobrazeno 1 - 10
of 367
pro vyhledávání: '"Tony F. Chan"'
Publikováno v:
International Journal of Biomedical Imaging, Vol 2007 (2007)
In positron emission tomography (PET), a radioactive compound is injected into the body to promote a tissue-dependent emission rate. Expectation maximization (EM) reconstruction algorithms are iterative techniques which estimate the concentration coe
Externí odkaz:
https://doaj.org/article/2f251a2c9d1146c19574f7ec36455f8d
Publikováno v:
International Journal of Biomedical Imaging, Vol 2007 (2007)
We generalize the total variation restoration model, introduced by Rudin, Osher, and Fatemi in 1992, to matrix-valued data, in particular, to diffusion tensor images (DTIs). Our model is a natural extension of the color total variation model proposed
Externí odkaz:
https://doaj.org/article/8bf7ec7b1b8041ac826144f1cc73cb5f
Publikováno v:
SIAM Journal on Scientific Computing. 39:A1616-A1646
We propose a variational formulation for dimension reduction on Riemannian manifolds. The algorithm is developed based on the level set method together with a recently developed principal flow algorithm. The original principal flow algorithm is a Lag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60935527711bde27be5fd3276179fb0c
https://doi.org/10.1137/16m107236x
https://doi.org/10.1137/16m107236x
Autor:
Tony F. Chan
Publikováno v:
Accelerated Universities ISBN: 9789004366107
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06e9b5bf6453985ee8886132ded86ba6
https://doi.org/10.1163/9789004366107_003
https://doi.org/10.1163/9789004366107_003
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 37:890-897
Reconstructing transparent objects is a challenging problem. While producing reasonable results for quite complex objects, existing approaches require custom calibration or somewhat expensive labor to achieve high precision. When an overall shape pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec53078b1f567d82c919af3178e0284e
https://doi.org/10.1109/tpami.2014.2346195
https://doi.org/10.1109/tpami.2014.2346195
Publikováno v:
Soft Soil Engineering ISBN: 9780203739501
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04d9118143be450b799dcbc31b619ced
https://doi.org/10.1201/9780203739501-25
https://doi.org/10.1201/9780203739501-25
We propose an effective framework for multi-phase image segmentation and semi-supervised data clustering by introducing a novel region force term into the Potts model. Assume the probability that a pixel or a data point belongs to each class is known
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e30d583e999d722211f3ca8906131a0c
http://arxiv.org/abs/1704.08218
http://arxiv.org/abs/1704.08218
Publikováno v:
Journal of Mathematical Imaging and Vision. 49:191-201
Recent advances in l 1 optimization for imaging problems provide promising tools to solve the fundamental high-dimensional data classification in machine learning. In this paper, we extend the main result of Szlam and Bresson (Proceedings of the 27th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4746a2973b76e3bf07132c27148d49a
https://doi.org/10.1007/s10851-013-0452-5
https://doi.org/10.1007/s10851-013-0452-5
Publikováno v:
Journal of Scientific Computing. 57:414-438
The active contour segmentation model of Chan and Vese has been widely used and generalized in different contexts in the literature. One possible modification is to employ Euler's elastica as the regularization of active contour. In this paper, we st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b65c7a794fdc91f463f068cb96e69238
https://doi.org/10.1007/s10915-013-9710-3
https://doi.org/10.1007/s10915-013-9710-3