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» Using Data Mining in MURA Graphic Problems
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161
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JCB
2006
215views more  JCB 2006»
15 years 4 months ago
Protein Fold Recognition Using Segmentation Conditional Random Fields (SCRFs)
Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e., segmentation con...
Yan Liu 0002, Jaime G. Carbonell, Peter Weigele, V...
140
Voted
SAC
2005
ACM
15 years 9 months ago
Time-varying, multivariate volume data reduction
Large-scale supercomputing is revolutionizing the way science is conducted. A growing challenge, however, is understanding the massive quantities of data produced by largescale si...
Nathaniel Fout, Kwan-Liu Ma, James P. Ahrens
136
Voted
VISUALIZATION
1997
IEEE
15 years 8 months ago
Multiresolution tetrahedral framework for visualizing regular volume data
We present a multiresolution framework, called Multi-Tetra framework, that approximates volume data with different levelsof-detail tetrahedra. The framework is generated through a...
Yong Zhou, Baoquan Chen, Arie E. Kaufman
122
Voted
KDD
1998
ACM
118views Data Mining» more  KDD 1998»
15 years 8 months ago
A Belief-Driven Method for Discovering Unexpected Patterns
Several pattern discovery methods proposed in the data mining literature have the drawbacks that they discover too many obvious or irrelevant patterns and that they do not leverag...
Balaji Padmanabhan, Alexander Tuzhilin
140
Voted
ICDM
2009
IEEE
138views Data Mining» more  ICDM 2009»
15 years 1 months ago
Semantic-Rich Markov Models for Web Prefetching
Abstract--Domain knowledge for web applications is currently being made available as domain ontology with the advent of the semantic web, in which semantics govern relationships am...
Nizar R. Mabroukeh, Christie I. Ezeife