Results 61 to 70 of about 9,957 (160)
A Robust Gaussian Filter Corresponding to the Transmisson Characterisic of the Gaussian Filter
Journal of Physics: Conference Series, 2014 A surface roughness profile of an object can be measured by extracting a mean line of the long wavelength component from the primary profile, and by subtracting it from the primary profile. This mean line is usually computed by convolving the traditional Gaussian filter (GF) and the primary profile. However, if an outlier exists in the primary profile,
Yuki Kondo +2 more
openaire +1 more source
Effect of Post-Reconstruction Gaussian Filtering on Image Quality and Myocardial Blood Flow Measurement with N-13 Ammonia PET [PDF]
Asia Oceania Journal of Nuclear Medicine and Biology, 2014 Objective(s): In order to evaluate the effect of post-reconstruction Gaussian filtering on image quality and myocardial blood flow (MBF) measurement by dynamic N-13 ammonia positron emission tomography (PET), we compared various reconstruction and ...
Hyeon Sik Kim +5 more
doaj
Edge-area form removal of two-process surfaces with valley excluding method approach
MATEC Web of Conferences, 2019 This paper analyses the influence of edge-area form removal on surface texture parameters (from ISO 25178 standard). The study focused on assessing the effect of near-edge dimples on surface texture analysis.
Podulka Przemysław
doaj +1 more source
Smoothing Hazard Functions and Time-Varying Effects in Discrete Duration and Competing Risks Models [PDF]
, 1995 State space or dynamic approaches to discrete or grouped duration data with competing risks or multiple terminating events allow simultaneous modelling and smooth estimation of hazard functions and time-varying effects in a flexible way. Full Bayesian or
Stefan Wagenpfeil +3 more
core +1 more source
Quasi-Gaussian Particle Filtering [PDF]
, 2006 The recently-raised Gaussian particle filtering (GPF) introduced the idea of Bayesian sampling into Gaussian filters. This note proposes to generalize the GPF by further relaxing the Gaussian restriction on the prior probability. Allowing the non-Gaussianity of the prior probability, the generalized GPF is provably superior to the original one ...
Yuanxin Wu +3 more
openaire +1 more source
A new perspective and extension of the Gaussian Filter [PDF]
The International Journal of Robotics Research, 2016 The Gaussian Filter (GF) is one of the most widely used filtering algorithms; instances are the Extended Kalman Filter, the Unscented Kalman Filter and the Divided Difference Filter. The GF represents the belief of the current state by a Gaussian distribution, whose mean is an affine function of the measurement.
Manuel Wüthrich +4 more
openaire +2 more sources
, 2012 Sensitivity of output of a linear operator to its input can be quantified in various ways. In Control Theory, the input is usually interpreted as disturbance and the output is to be minimized in some sense.
Diamond, Phil +2 more
core +1 more source
IMAGE SMOOTHING MENGGUNAKAN METODE MEAN FILTERING
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer, 2019 Pelembutan Citra (Image smoothing) bertujuan untuk menekan gangguan (noise) pada citra. Gangguan tersebut biasanya muncul sebagai akibat dari hasil penerokan yang tidak bagus (sensor noise, photographic grain noise) atau akibat saluran transmisi (pada ...
Muhammad Aufa Ridwan +3 more
doaj +1 more source
Gaussian-Gamma collaborative filtering: a hierarchical Bayesian model for recommender systems
, 2023 The traditional collaborative filtering (CF) suffers from two key challenges, namely, the normal assumption that it is not robust, and it is difficult to set in advance the penalty terms of the latent features.
Y Xiang (9888950) +3 more
core
A Gaussian-generalized inverse Gaussian finite-dimensional filter
Stochastic Processes and their Applications, 1999 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
FERRANTE M., VIDONI, Paolo
openaire +3 more sources