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APPT
2005
Springer
14 years 3 months ago
Principal Component Analysis for Distributed Data Sets with Updating
Identifying the patterns of large data sets is a key requirement in data mining. A powerful technique for this purpose is the principal component analysis (PCA). PCA-based clusteri...
Zheng-Jian Bai, Raymond H. Chan, Franklin T. Luk
CCE
2004
13 years 10 months ago
On the use of reduced order models in bifurcation analysis of distributed parameter systems
Bifurcation theory provides a powerful tool for analyzing the nonlinear dynamic behavior of process systems. However, although the theory in principle applies to lumped as well as...
Yi Liu, Elling W. Jacobsen
JSAC
2010
130views more  JSAC 2010»
13 years 8 months ago
Distributed target tracking using signal strength measurements by a wireless sensor network
Abstract—Wireless Sensor Networks are well suited for tracking targets carrying RFID tags in indoor environments. Tracking based on the received signal strength indication (RSSI)...
Anand Oka, Lutz H.-J. Lampe
ICCV
2005
IEEE
14 years 12 months ago
Real-Time Interactively Distributed Multi-Object Tracking Using a Magnetic-Inertia Potential Model
This paper breaks with the common practice of using a joint state space representation and performing the joint data association in multi-object tracking. Instead, we present an i...
Dan Schonfeld, Magdi A. Mohamed, Wei Qu
SOSP
1993
ACM
13 years 11 months ago
Handling Audio and Video Streams in a Distributed Environment
Handling audio and video in a digital environment requires timely delivery of data. This paper describes the principles adopted in the design of the Pandora networked multi-media ...
Alan Jones, Andrew Hopper