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BMCBI
2006
74views more  BMCBI 2006»
14 years 9 months ago
An unsupervised classification scheme for improving predictions of prokaryotic TIS
Background: Although it is not difficult for state-of-the-art gene finders to identify coding regions in prokaryotic genomes, exact prediction of the corresponding translation ini...
Maike Tech, Peter Meinicke
72
Voted
GECCO
2005
Springer
146views Optimization» more  GECCO 2005»
15 years 3 months ago
An empirical study of the robustness of two module clustering fitness functions
Two of the attractions of search-based software engineering (SBSE) derive from the nature of the fitness functions used to guide the search. These have proved to be highly robust...
Mark Harman, Stephen Swift, Kiarash Mahdavi
92
Voted
CVPR
2008
IEEE
15 years 11 months ago
Correlational spectral clustering
We present a new method for spectral clustering with paired data based on kernel canonical correlation analysis, called correlational spectral clustering. Paired data are common i...
Matthew B. Blaschko, Christoph H. Lampert
74
Voted
ICSP
1993
84views more  ICSP 1993»
14 years 11 months ago
A Role-Based Empirical Process Modeling Environment
Much contemporary development process research is based on analyses of process steps, their duration, and the events they propagate. Our initial research in large, mature telecomm...
Brendan G. Cain, James Coplien
ECCV
2006
Springer
15 years 11 months ago
A General Framework for Motion Segmentation: Independent, Articulated, Rigid, Non-rigid, Degenerate and Non-degenerate
Abstract. We cast the problem of motion segmentation of feature trajectories as linear manifold finding problems and propose a general framework for motion segmentation under affin...
Jingyu Yan, Marc Pollefeys