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EMNLP
2009
15 years 1 months ago
K-Best Combination of Syntactic Parsers
In this paper, we propose a linear model-based general framework to combine k-best parse outputs from multiple parsers. The proposed framework leverages on the strengths of previo...
Hui Zhang, Min Zhang, Chew Lim Tan, Haizhou Li
STACS
1999
Springer
15 years 8 months ago
The Weakness of Self-Complementation
Model checking is a method for the verification of systems with respect to their specifications. Symbolic model-checking, which enables the verification of large systems, procee...
Orna Kupferman, Moshe Y. Vardi
149
Voted
BMCBI
2010
118views more  BMCBI 2010»
15 years 4 months ago
From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification
Background: Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limit...
Bram Slabbinck, Willem Waegeman, Peter Dawyndt, Pa...
CVPR
2009
IEEE
16 years 11 months ago
Epitomized Priors for Multi-labeling Problems
Image parsing remains difficult due to the need to combine local and contextual information when labeling a scene. We approach this problem by using the epitome as a prior over ...
Jonathan Warrell, Simon J. D. Prince, Alastair P. ...
155
Voted
ICCV
2007
IEEE
16 years 6 months ago
Learning Multiscale Representations of Natural Scenes Using Dirichlet Processes
We develop nonparametric Bayesian models for multiscale representations of images depicting natural scene categories. Individual features or wavelet coefficients are marginally de...
Jyri J. Kivinen, Erik B. Sudderth, Michael I. Jord...