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» Domain Adaptation: A Small Sample Statistical Approach
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TMI
2010
175views more  TMI 2010»
14 years 11 months ago
Spatially Adaptive Mixture Modeling for Analysis of fMRI Time Series
Within-subject analysis in fMRI essentially addresses two problems, the detection of brain regions eliciting evoked activity and the estimation of the underlying dynamics. In [1, 2...
Thomas Vincent, Laurent Risser, Philippe Ciuciu
SIGGRAPH
2010
ACM
15 years 8 months ago
Feature-aligned T-meshes
High-order and regularly sampled surface representations are more efficient and compact than general meshes and considerably simplify many geometric modeling and processing algor...
Ashish Myles, Nico Pietroni, Denis Kovacs, Denis Z...
IJCV
1998
233views more  IJCV 1998»
15 years 4 months ago
A Level-Set Approach to 3D Reconstruction from Range Data
This paper presents a method that uses the level sets of volumes to reconstruct the shapes of 3D objects from range data. The strategy is to formulate 3D reconstruction as a stati...
Ross T. Whitaker
CVPR
2003
IEEE
16 years 6 months ago
Active Unsupervised Texture Segmentation on a Diffusion Based Feature Space
In this paper, we propose a novel and efficient approach for active unsurpervised texture segmentation. First, we show how we can extract a small set of good features for texture ...
Mikaël Rousson, Rachid Deriche, Thomas Brox
ECCV
2000
Springer
16 years 6 months ago
Gray Scale and Rotation Invariant Texture Classification with Local Binary Patterns
This paper presents a theoretically very simple yet efficient approach for gray scale and rotation invariant texture classification based on local binary patterns and nonparametric...
Timo Ojala, Matti Pietikäinen, Topi Mäen...