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ICCV
2005
IEEE
16 years 7 months ago
A Supervised Learning Framework for Generic Object Detection in Images
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
Saad Ali, Mubarak Shah
CORR
2010
Springer
163views Education» more  CORR 2010»
15 years 6 months ago
Distributed Principal Component Analysis for Wireless Sensor Networks
Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...
Yann-Aël Le Borgne, Sylvain Raybaud, Gianluca...
BILDMED
2009
143views Algorithms» more  BILDMED 2009»
15 years 7 months ago
Estimating Blood Flow Velocity in Liver Vessels
Orthogonal polarization spectroscopy (OPS) is a technique for taking images to finally characterise microcirculation. Current image analysis algorithms have limitations when applie...
Michael Müller, René Keimling, Sascha ...
JCM
2008
242views more  JCM 2008»
15 years 6 months ago
SimANet - A Large Scalable, Distributed Simulation Framework for Ambient Networks
In this paper, we present a new simulation platform for complex, radio standard spanning mobile Ad Hoc networks. SimANet - Simulation Platform for Ambient Networks - allows the coe...
Matthias Vodel, Matthias Sauppe, Mirko Caspar, Wol...
FSTTCS
2007
Springer
16 years 3 days ago
Program Analysis Using Weighted Pushdown Systems
Abstract. Pushdown systems (PDSs) are an automata-theoretic formalism for specifying a class of infinite-state transition systems. Infiniteness comes from the fact that each con...
Thomas W. Reps, Akash Lal, Nicholas Kidd