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CVPR
2008
IEEE
16 years 8 months ago
Efficient object shape recovery via slicing planes
Recovering the three-dimensional (3D) object shape lies as an unresolved and active research topic on the crosssection of computer vision, photogrammetry and bioinformatics. Altho...
Po-Lun Lai, Alper Yilmaz
SC
2009
ACM
16 years 1 months ago
Highly scalable genome assembly on campus grids
Bioinformatics researchers need efficient means to process large collections of sequence data. One application of interest, genome assembly, has great potential for parallelizati...
Christopher Moretti, Michael Olson, Scott J. Emric...
ICPP
2009
IEEE
16 years 1 months ago
Fine-grain Parallelism Using Multi-core, Cell/BE, and GPU Systems: Accelerating the Phylogenetic Likelihood Function
We are currently faced with the situation where applications have increasing computational demands and there is a wide selection of parallel processor systems. In this paper we fo...
Frederico Pratas, Pedro Trancoso, Alexandros Stama...
SDM
2007
SIAM
182views Data Mining» more  SDM 2007»
15 years 8 months ago
Distance Preserving Dimension Reduction for Manifold Learning
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
Hyunsoo Kim, Haesun Park, Hongyuan Zha
CVPR
2006
IEEE
16 years 8 months ago
Three-Dimensional Volume Reconstruction Based on Trajectory Fusion from Confocal Laser Scanning Microscope Images
In this paper, we address the problem of 3D volume reconstruction from depth adjacent subvolumes (i.e., sets of image frames) acquired using a confocal laser scanning microscope (...
Sang-Chul Lee, Peter Bajcsy