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BMCBI
2004
208views more  BMCBI 2004»
13 years 5 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
DAC
1999
ACM
13 years 10 months ago
Interconnect Analysis: From 3-D Structures to Circuit Models
In this survey paper we describethe combination of: discretized integral formulations, sparsication techniques, and krylov-subspace based model-order reduction that has led to rob...
Mattan Kamon, Nuno Alexandre Marques, Yehia Massou...
PAMI
2008
161views more  PAMI 2008»
13 years 5 months ago
Multilayered 3D LiDAR Image Construction Using Spatial Models in a Bayesian Framework
Standard 3D imaging systems process only a single return at each pixel from an assumed single opaque surface. However, there are situations when the laser return consists of multip...
Sergio Hernandez-Marin, Andrew M. Wallace, Gavin J...
ISLPED
2006
ACM
99views Hardware» more  ISLPED 2006»
13 years 11 months ago
Thermal via allocation for 3D ICs considering temporally and spatially variant thermal power
All existing methods for thermal-via allocation are based on a steady-state thermal analysis and may lead to excessive number of thermal vias. This paper develops an accurate and ...
Hao Yu, Yiyu Shi, Lei He, Tanay Karnik
CVBIA
2005
Springer
13 years 11 months ago
3D Statistical Shape Models to Embed Spatial Relationship Information
Abstract. This paper presents the creation of 3D statistical shape models of the knee bones and their use to embed information into a segmentation system for MRIs of the knee. We p...
Jurgen Fripp, Pierrick Bourgeat, Andrea J. U. Mewe...