Results 71 to 80 of about 451,604 (277)

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source

Hierarchical Frequency-Guided Knowledge Reconstruction for SAR Incremental Target Detection

Remote Sensing
Synthetic Aperture Radar (SAR) incremental target detection faces challenges from the limits of incremental learning frameworks and distinctive properties of SAR imagery.
Yu Tian, Zongyong Cui, Zheng Zhou, Zongjie Cao   +3 more
doaj   +1 more source

Batch-Incremental Learning for Mining Data Streams [PDF]

, 2004
The data stream model for data mining places harsh restrictions on a learning algorithm. First, a model must be induced incrementally. Second, processing time for instances must keep up with their speed of arrival.
Bainbridge, David, Holmes, Geoffrey, Kirkby, Richard Brendon   +2 more
core   +1 more source

Unsupervised Incremental Learning of Deep Descriptors From Video Streams

, 2017
We present a novel unsupervised method for face identity learning from video sequences. The method exploits the ResNet deep network for face detection and VGGface fc7 face descriptors together with a smart learning mechanism that exploits the temporal ...
Del Bimbo, Alberto, Pernici, Federico
core   +1 more source

A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann, Sarath Menon, Raphael Röske, Johannes Steinhülb, Michael Selzer, Jan Janssen, Tilmann Hickel, Ruth Schwaiger, Jörg Neugebauer   +8 more
wiley   +1 more source

LINVIEW: Incremental View Maintenance for Complex Analytical Queries

, 2014
Many analytics tasks and machine learning problems can be naturally expressed by iterative linear algebra programs. In this paper, we study the incremental view maintenance problem for such complex analytical queries.
Abadi D., Arasu A., Deng L., Grama A., Kamvar S., Kraska T., McSherry F., Motwani R., Press W., Seeger M., Stonebraker M., Stonebraker M., Venkataraman S., Whaley C., Zaharia M., Zhang Y.   +15 more
core   +1 more source

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

Advanced Engineering Materials, EarlyView.
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley   +1 more source

Hybrid intelligent deep kernel incremental extreme learning machine based on differential evolution and multiple population grey wolf optimization methods

Automatika, 2019
Focussing on the problem that redundant nodes in the kernel incremental extreme learning machine (KI-ELM) which leads to ineffective iteration increase and reduce the learning efficiency, a novel improved hybrid intelligent deep kernel incremental ...
Di Wu, Zong Shun Qu, Feng Jiao Guo, Xiao Lin Zhu, Qin Wan   +4 more
doaj   +1 more source

Class-Incremental Learning Based on Feature Extraction of CNN With Optimized Softmax and One-Class Classifiers

IEEE Access, 2019
With the development of deep convolutional neural networks in recent years, the network structure has become more and more complicated and varied, and there are very good results in pattern recognition, image classification, scene classification, and ...
Xin Ye, Qiuyu Zhu
doaj   +1 more source

Automatic event detection in microblogs using incremental machine learning

, 2017
The global popularity of microblogs has led to an increasing accumulation of large volumes of text data on microblogging platforms such as Twitter. These corpora are untapped resources to understand social expressions on diverse subjects.
Alahakoon, Damminda, Bandaragoda, Tharindu Rukshan, De Silva, Daswin   +2 more
core   +1 more source