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CVPR
2011
IEEE
8 years 1 months ago
Support Tucker Machines
In this paper we address the two-class classification problem within the tensor-based framework, by formulating the Support Tucker Machines (STuMs). More precisely, in the propos...
Irene Kotsia, Ioannis Patras
TSMC
2010
8 years 4 months ago
A Unified Tensor Level Set for Image Segmentation
Abstract--This paper presents a new region-based unified tensor level set model for image segmentation. This model introduces a three-order tensor to comprehensively depict feature...
Bin Wang, Xinbo Gao, Dacheng Tao, Xuelong Li
SIAMMAX
2010
134views more  SIAMMAX 2010»
8 years 4 months ago
Dynamical Tensor Approximation
For the approximation of time-dependent data tensors and of solutions to tensor differential equations by tensors of low Tucker rank, we study a computational approach that can be ...
Othmar Koch, Christian Lubich
SIAMMAX
2010
97views more  SIAMMAX 2010»
8 years 4 months ago
Krylov Subspace Methods for Linear Systems with Tensor Product Structure
The numerical solution of linear systems with certain tensor product structures is considered. Such structures arise, for example, from the finite element discretization of a line...
Daniel Kressner, Christine Tobler
ICIP
2009
IEEE
8 years 7 months ago
Fast subspace-based tensor data filtering
Subspace-based methods rely on dominant element selection from second order statistics. They have been extended to tensor processing, in particular to tensor data filtering. For t...
Julien Marot, Caroline Fossati, Salah Bourennane
DAGM
2009
Springer
8 years 7 months ago
Increasing the Dimension of Creativity in Rotation Invariant Feature Design Using 3D Tensorial Harmonics
Spherical harmonics are widely used in 3D image processing due to their compactness and rotation properties. For example, it is quite easy to obtain rotation invariance by taking t...
Henrik Skibbe, Marco Reisert, Olaf Ronneberger, Ha...
ML
2010
ACM
181views Machine Learning» more  ML 2010»
8 years 7 months ago
Decomposing the tensor kernel support vector machine for neuroscience data with structured labels
Abstract The tensor kernel has been used across the machine learning literature for a number of purposes and applications, due to its ability to incorporate samples from multiple s...
David R. Hardoon, John Shawe-Taylor
ISVC
2010
Springer
8 years 7 months ago
Interpolating 3D Diffusion Tensors in 2D Planar Domain by Locating Degenerate Lines
Interpolating diffusion tensor fields is a key technique to visualize the continuous behaviors of biological tissues such as nerves and muscle fibers. However, this has been stil...
Chongke Bi, Shigeo Takahashi, Issei Fujishiro
CORR
2002
Springer
123views Education» more  CORR 2002»
8 years 9 months ago
Ideal decompositions and computation of tensor normal forms
Abstract. Symmetry properties of r-times covariant tensors T can be described by certain linear subspaces W of the group ring K[Sr] of a symmetric group Sr. If for a class of tenso...
Bernd Fiedler
TVCG
2008
136views more  TVCG 2008»
8 years 9 months ago
Hierarchical Tensor Approximation of Multi-Dimensional Visual Data
Abstract-- Visual data comprise of multi-scale and inhomogeneous signals. In this paper, we exploit these characteristics and develop a compact data representation technique based ...
Qing Wu, Tian Xia, Chun Chen, Hsueh-Yi Sean Lin, H...
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