Results 191 to 200 of about 57,535 (295)

NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual Learning

, 2023
Tamasha Malepathirana, Damith Senanayake, Saman Halgamuge   +2 more
openalex   +2 more sources

Applying SOM Cluster Analysis With Iterative Refinement to Infer Lithology Units in Eastern Victoria, Australia

Earth and Space Science, Volume 12, Issue 8, August 2025.
Abstract This study presents a semi‐supervised machine learning method for predicting the occurrence of specific surface lithologies over a 330 km × 115 km area in Victoria, Australia. The study area is a geologically complex region within the Lachlan Fold Belt, characterized by orogenic events and surface lithologies that include deep‐marine ...
Limin Xu, Eleanor C. R. Green, Mark A. McLean, Leonardo Feltrin   +3 more
wiley   +1 more source

Image Contrast Enhancement using Learning Vector Quantization

, 2018
Priyanka Yadav, Vineet Khanna
openalex   +1 more source

Semi-supervised Grasp Detection by Representation Learning in a Vector Quantized Latent Space

, 2020
Mridul Mahajan, Tryambak Bhattacharjee, Arya Krishnan, Priya Shukla, Gora Chand Nandi   +4 more
openalex   +2 more sources

Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector Quantization

, 2023
Qijiong Liu, Jiaren Xiao, Lu Fan, Jieming Zhu, Xiao-Ming Wu   +4 more
openalex   +2 more sources

Probabilistic single‐particle cryo‐EM ab initio 3D reconstruction in SIMPLE

Acta Crystallographica Section D, Volume 81, Issue 8, Page 396-409, August 2025.
We introduce a new approach to probabilistic multi‐volume single‐particle cryo‐EM ab initio 3D reconstruction for simultaneous estimation of the relative particle 3D orientations and partitioning of the particles into groups with distinct structural states.Three‐dimensional (3D) structure determination by single‐particle analysis of cryo‐electron ...
Cong T. S. Van, Cyril F. Reboul, Joseph J. E. Caesar, Rubén Meana-Pañeda, George T. Lountos, Justin C. Deme, Owain J. Bryant, Steven Johnson, Claire T. Piczak, Eugene Valkov, Susan M. Lea, Hans Elmlund   +11 more
wiley   +1 more source

NeuroDetect: Deep Learning-Based Signal Detection in Phase-Modulated Systems with Low-Resolution Quantization. [PDF]

Sensors (Basel)
Luckshan C, Gayan S, Inaltekin H, Zhang R, Akman D.   +4 more
europepmc   +1 more source

Aksi Game Berbasis Brain Computer Interface dengan Spektral Daya dan Learning Vector Quantization

, 2018
Aditya Setiawan Putra, Esmeralda C. Djamal, Rezki Yuniarti   +2 more
openalex   +2 more sources

Efficient quantifying track structure cracks using deep learning

Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 19, Page 2969-2986, 5 August 2025.
Abstract High‐speed railway ballastless track structure crack detection usually has a high demand for the efficiency of crack detection technology. To overcome the limitation that current crack quantification methods usually require multiple steps, this paper proposes an efficient quantification method for track structure cracks using deep learning ...
Hongshuo Sun, Li Song, Zhiwu Yu
wiley   +1 more source

Perception-Based H.264/AVC Video Coding for Resource-Constrained and Low-Bit-Rate Applications. [PDF]

Sensors (Basel)
Kau LJ, Tseng CK, Lee MX.
europepmc   +1 more source