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BMCBI
2006
119views more  BMCBI 2006»
15 years 6 months ago
LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
Guoli Wang, Andrew V. Kossenkov, Michael F. Ochs
MICCAI
2001
Springer
15 years 10 months ago
Multisubject Non-rigid Registration of Brain MRI Using Intensity and Geometric Features
In this article we merge point feature and intensity-based registration in a single algorithm to tackle the problem of multiple brain registration. Because of the high variability ...
Pascal Cachier, Jean-Francois Mangin, Xavier Penne...
CVPR
2012
IEEE
13 years 8 months ago
Saliency filters: Contrast based filtering for salient region detection
Saliency estimation has become a valuable tool in image processing. Yet, existing approaches exhibit considerable variation in methodology, and it is often difficult to attribute...
Federico Perazzi, Philipp Krähenbühl, Ya...
3DPVT
2006
IEEE
295views Visualization» more  3DPVT 2006»
15 years 8 months ago
Efficient Sparse 3D Reconstruction by Space Sweeping
This paper introduces a feature based method for the fast generation of sparse 3D point clouds from multiple images with known pose. We extract sub-pixel edge elements (2D positio...
Joachim Bauer, Christopher Zach, Horst Bischof
TSP
2010
15 years 23 days ago
LS-CS-residual (LS-CS): compressive sensing on least squares residual
We consider the problem of recursively and causally reconstructing time sequences of sparse signals (with unknown and time-varying sparsity patterns) from a limited number of noisy...
Namrata Vaswani