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ACL
2006
13 years 11 months ago
Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling
We present a new semi-supervised training procedure for conditional random fields (CRFs) that can be used to train sequence segmentors and labelers from a combination of labeled a...
Feng Jiao, Shaojun Wang, Chi-Hoon Lee, Russell Gre...
BMCBI
2010
114views more  BMCBI 2010»
13 years 10 months ago
Detecting variants with Metabolic Design, a new software tool to design probes for explorative functional DNA microarray develop
Background: Microorganisms display vast diversity, and each one has its own set of genes, cell components and metabolic reactions. To assess their huge unexploited metabolic poten...
Sébastien Terrat, Eric Peyretaillade, Olivi...
SSIAI
2000
IEEE
14 years 2 months ago
A New Bayesian Relaxation Framework for the Estimation and Segmentation of Multiple Motions
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
Alexander Strehl, Jake K. Aggarwal
BMCBI
2006
145views more  BMCBI 2006»
13 years 10 months ago
Fast-Find: A novel computational approach to analyzing combinatorial motifs
Background: Many vital biological processes, including transcription and splicing, require a combination of short, degenerate sequence patterns, or motifs, adjacent to defined seq...
Micah Hamady, Erin Peden, Rob Knight, Ravinder Sin...
APSEC
1999
IEEE
14 years 2 months ago
Sequence Operators: Specifying Behavioral Interfaces of Smalltalk Blocks
The ability to treat code as data within a programming language is a powerful feature. Smalltalk introduces an object called a block that represents code as data. We propose a for...
Yoonsik Cheon, Heung-Nam Kim