Results 21 to 30 of about 9,957 (160)

Penapisan Derau Gaussian, Speckle dan Salt&Pepper Pada Citra Warna

IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2011
Quality of digital image can decrease becouse some noises. Noise can come from lower quality of image recorder, disturb when transmission data process and weather. Noise filtering can make image better becouse will filtering that noise from the image and
Ika Purwanti Ningrum, Agfianto Eko Putra, Dian Nursantika   +2 more
doaj   +1 more source

Low-Pass Filtering Method for Poisson Data Time Series

Applied Sciences, 2021
Problems of digital processing of Poisson-distributed data time series from various counters of radiation particles, photons, slow neutrons etc. are relevant for experimental physics and measuring technology.
Victor Getmanov, Vladislav Chinkin, Roman Sidorov, Alexei Gvishiani, Mikhail Dobrovolsky, Anatoly Soloviev, Anna Dmitrieva, Anna Kovylyaeva, Nataliya Osetrova, Igor Yashin   +9 more
doaj   +1 more source

On dimension reduction in Gaussian filters [PDF]

Inverse Problems, 2016
A priori dimension reduction is a widely adopted technique for reducing the computational complexity of stationary inverse problems. In this setting, the solution of an inverse problem is parameterized by a low-dimensional basis that is often obtained from the truncated Karhunen-Loeve expansion of the prior distribution.
Hakkarainen, Janne, Solonen, Antti, Cui, Tiangang, Marzouk, Youssef M   +3 more
openaire   +5 more sources

Gaussian-Gamma collaborative filtering: a hierarchical Bayesian model for recommender systems [PDF]

, 2017
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.
Xiang, Y., Luo, C., Zhang, B., Qi, M.
core   +1 more source

A rank correlation coefficient based particle filter to estimate parameters in non-linear models

International Journal of Distributed Sensor Networks, 2019
Particle filtering algorithm has found an increasingly wide utilization in many fields at present, especially in non-linear and non-Gaussian situations. Because of the particle degeneracy limitation, various resampling methods have been researched.
Qingxu Meng, Kaicheng Li
doaj   +1 more source

Improvement of image quality for small lesion sizes in 18F-FDG prone breast silicon photomultiplier-based PET/CT imaging [PDF]

Asia Oceania Journal of Nuclear Medicine and Biology
Objective(s): We investigated image quality and standardized uptake values (SUVs) for different lesion sizes using clinical data generated by 18F-FDG-prone breast silicon photomultiplier (SiPM)-based positron emission tomography/computed tomography (PET ...
Nobuhiro Yada, Hiroyuki Kuroda, Toshihiko Kawamura, Mizuki Fukuda, Yoshinori Miyahara, Takeshi Yoshizako, Yasushi Kaji   +6 more
doaj   +1 more source

Classification of Initial Stages of Alzheimer’s Disease through Pet Neuroimaging Modality and Deep Learning: Quantifying the Impact of Image Filtering Approaches

Mathematics, 2021
Alzheimer’s disease (AD) is a leading health concern affecting the elderly population worldwide. It is defined by amyloid plaques, neurofibrillary tangles, and neuronal loss. Neuroimaging modalities such as positron emission tomography (PET) and magnetic
Ahsan Bin Tufail, Yong-Kui Ma, Mohammed K. A. Kaabar, Ateeq Ur Rehman, Rahim Khan, Omar Cheikhrouhou   +5 more
doaj   +1 more source

Recursive Gaussian derivative filters

Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170), 2002
We propose a strategy to design recursive implementations of the Gaussian filter and Gaussian regularized derivative filters. Each recursive filter consists of a cascade of two stable Nth-order subsystems (causal and anti-causal). The computational complexity is 2N multiplications per pixel per dimension independent of the size (/spl sigma/) of the ...
Van Vliet, L.J. (author), Young, I.T. (author), Verbeek, P.W. (author)   +2 more
openaire   +3 more sources

Gaussian Embeddings for Collaborative Filtering [PDF]

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017
Most collaborative filtering systems, such as matrix factorization, use vector representations for items and users. Those representations are deterministic, and do not allow modeling the uncertainty of the learned representation, which can be useful when a user has a small number of rated items (cold start), or when there is conflicting information ...
dos Santos, Ludovic, Piwowarski, Benjamin, Gallinari, Patrick   +2 more
openaire   +2 more sources

The Filtered Gaussian Primitive Diamond Channel [PDF]

2021 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS), 2021
IEEE COMCAS, 1-3 NOVEMBER 2021, TEL AVIV ...
Asif Katz, Michael Peleg, Shlomo Shamai Shitz   +2 more
openaire   +4 more sources