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» The Structure Function and Distinguishable Models of Data
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CORR
2012
Springer
220views Education» more  CORR 2012»
12 years 4 months ago
Sparse Topical Coding
We present sparse topical coding (STC), a non-probabilistic formulation of topic models for discovering latent representations of large collections of data. Unlike probabilistic t...
Jun Zhu, Eric P. Xing
JCB
2006
215views more  JCB 2006»
13 years 8 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...
ICCV
2011
IEEE
12 years 9 months ago
Decision Tree Fields
This paper introduces a new formulation for discrete image labeling tasks, the Decision Tree Field (DTF), that combines and generalizes random forests and conditional random fiel...
Sebastian Nowozin, Carsten Rother, Shai Bagon, Ban...
DAC
2005
ACM
14 years 10 months ago
Simulation based deadlock analysis for system level designs
In the design of highly complex, heterogeneous, and concurrent systems, deadlock detection and resolution remains an important issue. In this paper, we systematically analyze the ...
Xi Chen, Abhijit Davare, Harry Hsieh, Alberto L. S...
ISBI
2007
IEEE
14 years 3 months ago
Quantitative Representation of Three-dimensional Cell Culture Models
Three-dimensional mammary cell culture models offer new opportunities for the development of computational techniques for segmentation, localization, and multicellular organizatio...
Hang Chang, Catherine Park, Bahram Parvin