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SAC
2011
ACM
14 years 11 months ago
A quasi-Newton acceleration for high-dimensional optimization algorithms
Abstract In many statistical problems, maximum likelihood estimation by an EM or MM algorithm suffers from excruciatingly slow convergence. This tendency limits the application of ...
Hua Zhou, David Alexander, Kenneth Lange
ICCV
2011
IEEE
14 years 4 months ago
Simultaneous Multi-Body Stereo and Segmentation
This paper presents a novel multi-body multi-view stereo method to simultaneously recover dense depth maps and perform segmentation with the input of a monocular image sequence. U...
Guofeng Zhang, Jiaya Jia, Hujun Bao
139
Voted
IPMI
2005
Springer
16 years 5 months ago
Extrapolation of Sparse Tensor Fields: Application to the Modeling of Brain Variability
Modeling the variability of brain structures is a fundamental problem in the neurosciences. In this paper, we start from a dataset of precisely delineated anatomical structures in ...
Pierre Fillard, Vincent Arsigny, Xavier Pennec, Pa...
153
Voted
BMVC
2010
15 years 2 months ago
Background Modelling on Tensor Field for Foreground Segmentation
The paper proposes a new method to perform foreground detection by means of background modeling using the tensor concept. Sometimes, statistical modelling directly on image values...
Rui Caseiro, Jorge Batista, Pedro Martins
MM
2004
ACM
117views Multimedia» more  MM 2004»
15 years 10 months ago
Optimized mesh and texture multiplexing for progressive textured model transmission
An optimized scheme of multiplexing coded mesh and texture data to facilitate progressive transmission of 3D textured models is proposed in this work. The mesh and texture data of...
Sheng Yang, Chao-Hua Lee, C. C. Jay Kuo