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Ellipse-based principal component analysis for self-intersecting curve reconstruction from noisy point sets
(SPRINGER, 2011-03-01)
Surface reconstruction from cross cuts usually requires curve reconstruction from planar noisy point samples. The output curves must form a possibly disconnected 1-manifold for the surface reconstruction to proceed. This ...
Tracking of points in a calibrated and noisy image sequence
(SPRINGER, 2004)
Ellipse-based principal component analysis for self-intersecting curve reconstruction from noisy point sets
(SPRINGER, 2011-03-01)
Surface reconstruction from cross cuts usually requires curve reconstruction from planar noisy point samples. The output curves must form a possibly disconnected 1-manifold for the surface reconstruction to proceed. This ...
Ellipse-based Principal Component Analysis for Self-intersecting Curve Reconstruction from Noisy Point Sets
(Springer Berlin Heidelberg, 2011)
Surface reconstruction from cross cuts usually requires curve reconstruction from planar noisy point samples -- The output curves must form a possibly disconnected 1manifold for the surface reconstruction to proceed -- ...
Auto-Associative Initialization of LSTM Neural Networks for Fundamental Frequency Detection in Noisy Speech Signals
(2018)
In this paper, we present a new approach for fundamental frequency detection in noisy speech, based on Long Short-term Memory Neural Networks (LSTM). Fundamental frequency is one of the most important parameters of human ...
Reconstructing fundamental frequency from noisy speech using initialized autoencoders
(2020-10)
In this paper, we present a new approach for fundamental frequency (f0) detection in noisy speech, based on Long Short-term Memory Neural Networks (LSTM). f0 is one of the most important parameters of human speech. Its ...
Performance Evaluation of Advanced Relaying Protocols in Large Wireless Networks
(Institute of Electrical and Electronics Engineers Inc, 2019-02)
This paper studies the performance of some state-of-the-art cooperative full-duplex relaying protocols in the context of a large wireless network modeled using stochastic geometry tools. We investigate the outage behavior ...
Statistical Simplex Method for Experimental Design in Process Optimization
(American Chemical Society, 2005-11)
Experimental optimization with scarce and noisy process data is a key issue in laboratory automation for faster chemical process research and development, real-time process optimization, and the ability to embed a learning ...
Fitting of Analytic Surfaces to Noisy Point Clouds
(2013-01-01)
Fitting -continuous or superior surfaces to a set of points sampled on a 2-manifold is central to reverse engineering, computer aided geometric modeling, entertaining, modeling of art heritage, etc. This article addresses ...
Fitting of Analytic Surfaces to Noisy Point Clouds
(2013-01-01)
Fitting -continuous or superior surfaces to a set of points sampled on a 2-manifold is central to reverse engineering, computer aided geometric modeling, entertaining, modeling of art heritage, etc. This article addresses ...