Results 181 to 190 of about 33,807 (240)

Open-Set Recognition of Human Activities from Head-Mounted Inertial Sensor. [PDF]

Sensors (Basel)
Cortese A, Solbiati S, Scandelli A, Giudici A, Antonello N, Trojaniello D, Boracchi G, Caiani EG.   +7 more
europepmc   +1 more source

A device free high-precision indoor positioning and tracking method based on GMM-WKNN algorithm. [PDF]

Sci Rep
Jiang M, Yuan J.
europepmc   +1 more source

Comparison of amyloid PET acquired through standardized and unstandardized protocols. [PDF]

Alzheimers Dement
Cody KA, Sokolowski A, Guerra LM, Insel PS, Jagust WJ, Harrison TM, Mormino EC.   +6 more
europepmc   +1 more source

Fine-tuning AlphaFold with limited cryo-EM observations. [PDF]

Commun Chem
Liao J, Zheng D, Zhang H, Zhang L, Hu M, Bao C.   +5 more
europepmc   +1 more source

High-throughput mechanical characterization of giant unilamellar vesicles by real-time deformability cytometry.

Soft Matter
Kloppe M, Maurer SJ, Abele T, Göpfrich K, Aland S.   +4 more
europepmc   +1 more source

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PRIMAL-GMM: PaRametrIc MAnifold Learning of Gaussian Mixture Models

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
We propose a ParametRIc MAnifold Learning (PRIMAL) algorithm for Gaussian mixtures models (GMM), assuming that GMMs lie on or near to a manifold of probability distributions that is generated from a low-dimensional hierarchical latent space through parametric mappings. Inspired by principal component analysis (PCA), the generative processes for priors,
Ziquan Liu, Lei Yu, Janet H. Hsiao, Antoni B. Chan   +3 more
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Engine Overheating Prediction with Machine Learning Using Gaussian Mixture Model (GMM)

SAE Technical Paper Series, 2022
<div class="section abstract"><div class="htmlview paragraph">The Advancement in Connected vehicles Technology in recent years has propelled the use of concepts like the Internet of Things (IoT) and big data in the automotive industry. The progressive electrification of the powertrain has led to the integration of various sensors in the ...
Shrikant Deokrishna Hiwase, PRAMOD JAGTAP, Dinesh Krishna   +2 more
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Vehicle Detection Using Machine Learning Model with the Gaussian Mixture Model (GMM)

Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, 2022
Motion tracking apps are used for a lot of different things, like finding traffic jams and counting the number of cars going through a traffic light. The datasets come from many places on the internet, like YouTube and public dataset archives. There are about 20 videos that are tagged with the words "traffic" and "traffic camera video" and run for 10 ...
Rika Rosnelly, Bob Subhan Riza, Linda Wahyuni, S. Edy Victor Haryanto, Annas Prasetio   +4 more
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Driver face tracking using Gaussian mixture model(GMM)

IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No.03TH8683), 2004
For the purpose of driver fatigue or attention level surveillance based on various facial cues, a practical computer vision system would probably implement at least three major components: a face detection module to locate the face as system initialization, a face tracking module to track the face in the subsequent images, and an inference module to ...
Y. Zhu, K. Fujimura
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