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» Signal and image approximation with level-set constraints
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ICASSP
2010
IEEE
13 years 6 months ago
Multiplicative update rules for nonnegative matrix factorization with co-occurrence constraints
Nonnegative matrix factorization (NMF) is a widely-used tool for obtaining low-rank approximations of nonnegative data such as digital images, audio signals, textual data, financ...
Steven K. Tjoa, K. J. Ray Liu
ISBI
2011
IEEE
12 years 10 months ago
Sparse topological data recovery in medical images
For medical image analysis, the test statistic of the measurements is usually constructed at every voxels in space and thresholded to determine the regions of significant signals...
Moo K. Chung, Hyekyoung Lee, Peter T. Kim, Jong Ch...
IWDW
2005
Springer
13 years 12 months ago
On the Achievable Rate of Side Informed Embedding Techniques with Steganographic Constraints
The development of watermarking schemes in the literature is generally guided by a power constraint on the watermark to be embedded into the host. In a steganographic framework the...
Mark T. Hogan, Félix Balado, Neil J. Hurley...
DAGSTUHL
2007
13 years 7 months ago
Nonlinear Approximation and Image Representation using Wavelets
We address the problem of finding sparse wavelet representations of high-dimensional vectors. We present a lower-bounding technique and use it to develop an algorithm for computi...
Sudipto Guha, Boulos Harb
IJCV
2006
166views more  IJCV 2006»
13 years 6 months ago
Fast Constrained Surface Extraction by Minimal Paths
A new approach performing surface extraction from 3D images under user defined geometrical constraints is presented. The constraints are introduced through boundary curves given by...
Roberto Ardon, Laurent D. Cohen