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118
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ICPR
2010
IEEE
15 years 4 months ago
SemiCCA: Efficient Semi-Supervised Learning of Canonical Correlations
Canonical correlation analysis (CCA) is a powerful tool for analyzing multi-dimensional paired data. However, CCA tends to perform poorly when the number of paired samples is limit...
Akisato Kimura, Hirokazu Kameoka, Masashi Sugiyama...
ICPR
2006
IEEE
16 years 3 months ago
Adaptive Feature Integration for Segmentation of 3D Data by Unsupervised Density Estimation
In this paper, a novel unsupervised approach for the segmentation of unorganized 3D points sets is proposed. The method derives by the mean shift clustering paradigm devoted to se...
Marco Cristani, Umberto Castellani, Vittorio Murin...
130
Voted
IPPS
1996
IEEE
15 years 6 months ago
Study of Scalable Declustering Algorithms for Parallel Grid Files
Efficient storage and retrieval of large multidimensional datasets is an important concernfor large-scale scientific computations such as long-running time-dependent simulations w...
Bongki Moon, Anurag Acharya, Joel H. Saltz

Source Code
317views
16 years 2 months ago
Madagascar
Madagascar is an open-source software package for multidimensional data analysis and reproducible computational experiments. Its mission is to provide a convenient and powerful env...
129
Voted
NCA
2009
IEEE
15 years 9 months ago
Simulating Fixed Virtual Nodes for Adapting Wireline Protocols to MANET
Abstract— The Virtual Node Layer (VNLayer) is a programtraction for Mobile Ad Hoc Networks (MANETs). It defines simple virtual servers at fixed locations in a network, addressi...
Jiang Wu, Nancy D. Griffeth, Nancy A. Lynch, Calvi...