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TSMC
2010
13 years 4 months ago
Distance Approximating Dimension Reduction of Riemannian Manifolds
We study the problem of projecting high-dimensional tensor data on an unspecified Riemannian manifold onto some lower dimensional subspace1 without much distorting the pairwise geo...
Changyou Chen, Junping Zhang, Rudolf Fleischer
TSMC
2010
13 years 4 months ago
Fractional Particle Swarm Optimization in Multidimensional Search Space
In this paper, we propose two novel techniques, which successfully address several major problems in the field of particle swarm optimization (PSO) and promise a significant breakt...
Serkan Kiranyaz, Turker Ince, E. Alper Yildirim, M...
TSP
2010
13 years 4 months ago
Distributed sparse linear regression
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
Gonzalo Mateos, Juan Andrés Bazerque, Georg...
TVCG
2010
165views more  TVCG 2010»
13 years 4 months ago
Binary Mesh Partitioning for Cache-Efficient Visualization
Abstract--One important bottleneck when visualizing large data sets is the data transfer between processor and memory. Cacheaware (CA) and cache-oblivious (CO) algorithms take into...
Marc Tchiboukdjian, Vincent Danjean, Bruno Raffin
BMCBI
2011
13 years 4 months ago
Phenotype Recognition with Combined Features and Random Subspace Classifier Ensemble
Background: Automated, image based high-content screening is a fundamental tool for discovery in biological science. Modern robotic fluorescence microscopes are able to capture th...
Bailing Zhang, Tuan D. Pham
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