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» An LFT approach to parameter estimation
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CVPR
2004
IEEE
14 years 9 months ago
Probabilistic Parameter-Free Motion Detection
We propose an original probabilistic parameter-free method for the detection of independently moving objects in an image sequence. We apply a probabilistic perceptual principle, t...
Frédéric Cao, Patrick Bouthemy, Thom...
MMSEC
2006
ACM
213views Multimedia» more  MMSEC 2006»
14 years 1 months ago
Parameter optimization for biometric fingerprint recognition using genetic algorithms
In this paper, we suggest an optimization approach for fingerprint authentication using genetic algorithms. Our application was planned so that it can be used without great effort...
Tobias Scheidat, Andreas Engel, Claus Vielhauer
PAKDD
2010
ACM
158views Data Mining» more  PAKDD 2010»
14 years 12 days ago
Integrative Parameter-Free Clustering of Data with Mixed Type Attributes
Abstract. Integrative mining of heterogeneous data is one of the major challenges for data mining in the next decade. We address the problem of integrative clustering of data with ...
Christian Böhm, Sebastian Goebl, Annahita Osw...
ICCD
2007
IEEE
133views Hardware» more  ICCD 2007»
14 years 4 months ago
System level power estimation methodology with H.264 decoder prediction IP case study
This paper presents a methodology to generate a hierarchy of power models for power estimation of custom hardware IP blocks, enabling a trade-off between power estimation accuracy...
Young-Hwan Park, Sudeep Pasricha, Fadi J. Kurdahi,...
ISCAS
1994
IEEE
104views Hardware» more  ISCAS 1994»
13 years 11 months ago
A Homotopy Continuation Method for Parameter Estimation in MRF Models and Image Restoration
In this paper, we present an alternate approach to estimate the parameters of a Markov random field (MRF) model for images using the concepts of homotopy continuation method. We a...
P. K. Nanda, Uday B. Desai, P. G. Poonacha