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» New Algorithms for SIMD Alignment
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3DIM
2001
IEEE
13 years 11 months ago
Efficient Variants of the ICP Algorithm
The ICP (Iterative Closest Point) algorithm is widely used for geometric alignment of three-dimensional models when an initial estimate of the relative pose is known. Many variant...
Szymon Rusinkiewicz, Marc Levoy
CORR
2006
Springer
99views Education» more  CORR 2006»
13 years 7 months ago
PAC Learning Mixtures of Axis-Aligned Gaussians with No Separation Assumption
Abstract. We propose and analyze a new vantage point for the learning of mixtures of Gaussians: namely, the PAC-style model of learning probability distributions introduced by Kear...
Jon Feldman, Ryan O'Donnell, Rocco A. Servedio
IPMI
2009
Springer
14 years 2 months ago
Generalized L2-Divergence and Its Application to Shape Alignment
This paper proposes a novel and robust approach to the groupwise point-sets registration problem in the presence of large amounts of noise and outliers. Each of the point sets is r...
Fei Wang, Baba C. Vemuri, Tanveer Fathima Syeda-Ma...
BIBM
2009
IEEE
218views Bioinformatics» more  BIBM 2009»
14 years 2 months ago
Real-Time Non-rigid Registration of Medical Images on a Cooperative Parallel Architecture
Abstract—Unacceptable execution time of Non-rigid registration (NRR) often presents a major obstacle to its routine clinical use. Parallel computing is an effective way to accele...
Yixun Liu, Andriy Fedorov, Ron Kikinis, Nikos Chri...
BMCBI
2007
134views more  BMCBI 2007»
13 years 7 months ago
Efficient pairwise RNA structure prediction using probabilistic alignment constraints in Dynalign
Background: Joint alignment and secondary structure prediction of two RNA sequences can significantly improve the accuracy of the structural predictions. Methods addressing this p...
Arif Ozgun Harmanci, Gaurav Sharma, David H. Mathe...