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» Distributed linear discriminant analysis
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91
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PADS
2005
ACM
15 years 6 months ago
Concurrent Replication of Parallel and Distributed Simulations
Parallel and distributed simulations enable the analysis of complex systems by concurrently exploiting the aggregate computation power and memory of clusters of execution units. I...
Luciano Bononi, Michele Bracuto, Gabriele D'Angelo...
99
Voted
ICASSP
2009
IEEE
15 years 7 months ago
A mixed time-scale algorithm for distributed parameter estimation : Nonlinear observation models and imperfect communication
Abstract— The paper considers the algorithm NLU for distributed (vector) parameter estimation in sensor networks, where, the local observation models are nonlinear, and inter-sen...
Soummya Kar, José M. F. Moura
109
Voted
KDD
2004
ACM
132views Data Mining» more  KDD 2004»
16 years 1 months ago
Privacy preserving regression modelling via distributed computation
Reluctance of data owners to share their possibly confidential or proprietary data with others who own related databases is a serious impediment to conducting a mutually beneficia...
Ashish P. Sanil, Alan F. Karr, Xiaodong Lin, Jerom...
95
Voted
PC
1998
89views Management» more  PC 1998»
15 years 14 days ago
Analysis of Local Enumeration and Storage Schemes in HPF
In this paper, we analyze the efficiency of three local enumeration and three storage compression schemes for cyclic(m) data distributions in High Performance Fortran (HPF). We sh...
Henk J. Sips, Will Denissen, Kees van Reeuwijk
ICNC
2005
Springer
15 years 6 months ago
Line-Based PCA and LDA Approaches for Face Recognition
Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) techniques are important and well-developed area of image recognition and to date many linear discriminati...
Vo Dinh Minh Nhat, Sungyoung Lee