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BMCBI
2004
208views more  BMCBI 2004»
13 years 7 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
CVPR
2010
IEEE
13 years 10 months ago
Robust Piecewise-Planar 3D Reconstruction and Completion from Large-Scale Unstructured Point Data
In this paper, we present a novel method, the first to date to our knowledge, which is capable of directly and automatically producing a concise and idealized 3D representation f...
Anne-Laure Chauve, Patrick Labatut, Jean-Philippe ...
SLIP
2009
ACM
14 years 2 months ago
From 3D circuit technologies and data structures to interconnect prediction
New technologies such as 3D integration are becoming a new force that is keeping Moore’s law in effect in today’s nano era. By adding a third dimension in current 2D circuits...
Robert Fischbach, Jens Lienig, Tilo Meister
WACV
2005
IEEE
14 years 1 months ago
Automatic Augmentation and Meshing of Sparse 3D Scene Structure
We propose a novel method of robustly and automatically creating surface meshes from the very sparsely populated 3D point clouds typically produced by Structure from Motion algori...
Oli Cooper, Neill W. Campbell, David P. Gibson
GIS
2008
ACM
14 years 8 months ago
An operation-independent approach to extend 2D spatial operations to 3D and moving objects
It has been pointed out repeatedly that spatial operations must be extended to include support for 3D and moving objects. The attempt to code by hand each spatial operation for ea...
Farid Karimipour, Andrew U. Frank, Mahmoud Reza De...