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» Repairing Structurally Complex Data
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JMLR
2010
202views more  JMLR 2010»
13 years 5 months ago
Learning the Structure of Deep Sparse Graphical Models
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghah...
BMCBI
2010
175views more  BMCBI 2010»
13 years 11 months ago
Towards high performance computing for molecular structure prediction using IBM Cell Broadband Engine - an implementation perspe
Background: RNA structure prediction problem is a computationally complex task, especially with pseudo-knots. The problem is well-studied in existing literature and predominantly ...
S. P. T. Krishnan, Sim Sze Liang, Bharadwaj Veerav...
CVPR
2009
IEEE
15 years 5 months ago
Unsupervised Learning of Hierarchical Spatial Structures In Images
The visual world demonstrates organized spatial patterns, among objects or regions in a scene, object-parts in an object, and low-level features in object-parts. These classes o...
Devi Parikh (Carnegie Mellon University), C. Lawre...
CVPR
2003
IEEE
15 years 24 days ago
Learning Object Intrinsic Structure for Robust Visual Tracking
In this paper, a novel method to learn the intrinsic object structure for robust visual tracking is proposed. The basic assumption is that the parameterized object state lies on a...
Qiang Wang, Guangyou Xu, Haizhou Ai
IPPS
2007
IEEE
14 years 5 months ago
A Comparative Study of Parallel Metaheuristics for Protein Structure Prediction on the Computational Grid
A comparative study of parallel metaheuristics executed in grid environments is proposed, having as case study a genetic algorithm, a simulated annealing algorithm and a random se...
Alexandru-Adrian Tantar, Nouredine Melab, El-Ghaza...