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» Data Separation by Sparse Representations
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CVPR
2006
IEEE
15 years 3 days ago
Scale Variant Image Pyramids
Multi-scale representations are motivated by the scale invariant properties of natural images. While many low level statistical measures, such as the local mean and variance of in...
Joshua Gluckman
CVPR
2004
IEEE
15 years 3 days ago
Capturing Image Structure with Probabilistic Index Maps
One of the major problems in modeling images for vision tasks is that images with very similar structure may locally have completely different appearance, e.g., images taken under...
Nebojsa Jojic, Yaron Caspi
INFOVIS
2005
IEEE
14 years 3 months ago
An Interactive 3D Integration of Parallel Coordinates and Star Glyphs
Parallel Coordinates are a powerful method for visualizing multidimensional data, however, with large data sets they can become cluttered and difficult to read. On the other hand...
Elena Fanea, M. Sheelagh T. Carpendale, Tobias Ise...
MICCAI
2010
Springer
13 years 8 months ago
Manifold Learning for Biomarker Discovery in MR Imaging
We propose a framework for the extraction of biomarkers from low-dimensional manifolds representing inter- and intra-subject brain variation in MR image data. The coordinates of ea...
Robin Wolz, Paul Aljabar, Joseph V. Hajnal, Daniel...
ICCV
2007
IEEE
15 years 1 days ago
Discriminative Subsequence Mining for Action Classification
Recent approaches to action classification in videos have used sparse spatio-temporal words encoding local appearance around interesting movements. Most of these approaches use a ...
Sebastian Nowozin, Gökhan H. Bakir, Koji Tsud...