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» A Note on Principal Point Estimability
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GLOBECOM
2009
IEEE
14 years 2 months ago
Data Acquisition through Joint Compressive Sensing and Principal Component Analysis
—In this paper we look at the problem of accurately reconstructing distributed signals through the collection of a small number of samples at a data gathering point. The techniqu...
Riccardo Masiero, Giorgio Quer, Daniele Munaretto,...
CIARP
2006
Springer
13 years 11 months ago
A Method for Detection and Modeling of the Human Spine Based on Principal Curvatures
The detection and modeling of the human spine from scanned 3D data is an important issue in biomedical shape analysis. It can be useful for avoiding invasive treatments like radiog...
Y. Santiesteban, J. M. Sanchiz, José Mart&i...
ICSM
2003
IEEE
14 years 1 months ago
Source Code Based Function Point Analysis for Enhancement Projects
Function point analysis is a well known established method to estimate the size of software systems and software projects. However, because it is based on functional documentation...
Steven Klusener
PRL
2008
95views more  PRL 2008»
13 years 7 months ago
Semi-supervised learning by search of optimal target vector
We introduce a semi-supervised learning estimator which tends to the first kernel principal component as the number of labeled points vanishes. We show application of the proposed...
Leonardo Angelini, Daniele Marinazzo, Mario Pellic...
IJCNN
2006
IEEE
14 years 2 months ago
A Monte Carlo Sequential Estimation for Point Process Optimum Filtering
— Adaptive filtering is normally utilized to estimate system states or outputs from continuous valued observations, and it is of limited use when the observations are discrete e...
Yiwen Wang 0002, António R. C. Paiva, Jose ...