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ICML
1995
IEEE
16 years 6 months ago
Visualizing High-Dimensional Structure with the Incremental Grid Growing Neural Network
Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...
Justine Blackmore, Risto Miikkulainen
NAR
2007
124views more  NAR 2007»
15 years 4 months ago
The RNAz web server: prediction of thermodynamically stable and evolutionarily conserved RNA structures
Many non-coding RNA genes and cis-acting regulatory elements of mRNAs contain RNA secondary structures that are critical for their function. Such functional RNAs can be predicted ...
Andreas R. Gruber, Richard Neuböck, Ivo L. Ho...
ICIAR
2009
Springer
15 years 11 months ago
Interactive Image Segmentation Based on Hierarchical Graph-Cut Optimization with Generic Shape Prior
Abstract. A new algorithm for interactive image segmentation is proposed. Besides the traditional appearance and gradient information, a new Generic Shape Prior (GSP) knowledge whi...
Chen Liu, Fengxia Li, Yan Zhang, Haiyang Gu
172
Voted
ALMOB
2007
170views more  ALMOB 2007»
15 years 5 months ago
A spatio-temporal mining approach towards summarizing and analyzing protein folding trajectories
Understanding the protein folding mechanism remains a grand challenge in structural biology. In the past several years, computational theories in molecular dynamics have been empl...
Hui Yang, Srinivasan Parthasarathy, Duygu Ucar
ATAL
2011
Springer
14 years 5 months ago
Towards a unifying characterization for quantifying weak coupling in dec-POMDPs
Researchers in the field of multiagent sequential decision making have commonly used the terms “weakly-coupled” and “loosely-coupled” to qualitatively classify problems i...
Stefan J. Witwicki, Edmund H. Durfee