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» A Family of Data-Parallel Derivations
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122
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JMLR
2010
137views more  JMLR 2010»
14 years 7 months ago
Covariance in Unsupervised Learning of Probabilistic Grammars
Probabilistic grammars offer great flexibility in modeling discrete sequential data like natural language text. Their symbolic component is amenable to inspection by humans, while...
Shay B. Cohen, Noah A. Smith
BMCBI
2010
152views more  BMCBI 2010»
15 years 23 days ago
Apples and oranges: avoiding different priors in Bayesian DNA sequence analysis
Background: One of the challenges of bioinformatics remains the recognition of short signal sequences in genomic DNA such as donor or acceptor splice sites, splicing enhancers or ...
Jens Keilwagen, Jan Grau, Stefan Posch, Ivo Grosse
84
Voted
ICCV
2003
IEEE
16 years 2 months ago
Robust Regression with Projection Based M-estimators
The robust regression techniques in the RANSAC family are popular today in computer vision, but their performance depends on a user supplied threshold. We eliminate this drawback ...
Haifeng Chen, Peter Meer
97
Voted
ECCV
1992
Springer
16 years 2 months ago
Texture Segmentation by Minimizing Vector-Valued Energy Functionals: The Coupled-Membrane Model
This paper presents a computational model that segments images based on the textural properties of object surfaces. The proposed Coupled-Membrane model applies the weak membrane ap...
Tai Sing Lee, David Mumford, Alan L. Yuille
100
Voted
ICIP
2001
IEEE
16 years 2 months ago
Orthogonal quincunx wavelets with fractional orders
We present a new family of 2D orthogonal wavelets which uses quincunx sampling. The orthogonal refinement filters have a simple analytical expression in the Fourier domain as a fu...
Manuela Feilner, Mathews Jacob, Michael Unser