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» From Algorithmic to Subjective Randomness
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151
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ICIP
2008
IEEE
16 years 5 months ago
Nonconvex compressive sensing and reconstruction of gradient-sparse images: Random vs. tomographic Fourier sampling
Previous compressive sensing papers have considered the example of recovering an image with sparse gradient from a surprisingly small number of samples of its Fourier transform. T...
Rick Chartrand
KES
2007
Springer
15 years 9 months ago
Random Germs and Stochastic Watershed for Unsupervised Multispectral Image Segmentation
This paper extends the use of stochastic watershed, recently introduced by Angulo and Jeulin [1], to unsupervised segmentation of multispectral images. Several probability density ...
Guillaume Noyel, Jesús Angulo, Dominique Je...
126
Voted
AIRS
2006
Springer
15 years 7 months ago
Natural Document Clustering by Clique Percolation in Random Graphs
Document clustering techniques mostly depend on models that impose explicit and/or implicit priori assumptions as to the number, size, disjunction characteristics of clusters, and/...
Wei Gao, Kam-Fai Wong
SIAMCOMP
1998
141views more  SIAMCOMP 1998»
15 years 3 months ago
Randomized Data Structures for the Dynamic Closest-Pair Problem
We describe a new randomized data structure, the sparse partition, for solving the dynamic closest-pair problem. Using this data structure the closest pair of a set of n points in ...
Mordecai J. Golin, Rajeev Raman, Christian Schwarz...
120
Voted
ICASSP
2010
IEEE
15 years 2 months ago
Learning in Gaussian Markov random fields
This paper addresses the problem of state estimation in the case where the prior distribution of the states is not perfectly known but instead is parameterized by some unknown par...
Thomas J. Riedl, Andrew C. Singer, Jun Won Choi