Results 71 to 80 of about 6,486,492 (310)

SPD Data Dictionary Learning Based on Kernel Learning and Riemannian Metric

IEEE Access, 2020
The use of regional covariance descriptors to generate feature data represented by Symmetric Positive Definite (SPD) matrices from images or videos has become increasingly common in machine learning.
Rixin Zhuang, Zhengming Ma, Weijia Feng, Yuanping Lin   +3 more
doaj   +1 more source

Expanding the notion of global learning: Turkish-Dutch teens’ networked configurations for learning [PDF]

, 2020
Digital technology facilitate interactions between learners and resources at a global level. New learner prototypes are therefore proposed, such as the notion of the global learner.
Ünlüsoy, Asli, de Haan, M.J., Leerstoel Haan, Education and Learning: Cognitive and Motor Disabilities, de Haan, Mariëtte, Ünlüsoy, A.   +5 more
core   +2 more sources

The Mind From Within: Visceral Roots of Human Cognition

Advanced Science, EarlyView.
The physiological activity of visceral organs, such as the heart, the lungs, and the gut, is surprisingly linked to many sophisticated mental operations, such as remembering the past, being aware of ourselves, making choices, and forging social bonds.
Alessandro Monti, Salvatore Maria Aglioti   +1 more
wiley   +1 more source

Dictionary of economic law

, 2023
Recommended by the Scientific Council of the National University of Life and Environmental Sciences of Ukraine.«Dictionary of economic law» contains words, phrases, terms, names, signs contained in the current economic legislation of Ukraine.
Kanaryk, Y.S, Pankova, L. O.
core  

Sparse and spurious: dictionary learning with noise and outliers [PDF]

, 2015
This is a substantially revised version of a first draft that appeared as a preprint titled "Local stability and robustness of sparse dictionary learning in the presence of noise", http://hal.inria.fr/hal-00737152International audienceA popular approach ...
Gribonval, Rémi, Bach, Francis, Jenatton, Rodolphe   +2 more
core   +1 more source

Multiscale Coupling From Mastication to Retronasal Aroma Perception: The PG‐DTCFN Model and Multiphysics Simulation

Advanced Science, EarlyView.
Using grilled lamb skewers as a model system, this work builds a multiscale coupling framework from oral processing to retronasal aroma perception, reveals dual‐kinetic release patterns and Electroencephalogram‐characterized central encoding features, and proposes an interpretable physics‐guided deep learning model validated by multiphysics simulation,
Che Shen, Xiongfeng He, Zihao Li, Zidong Chen, Jiajin Sun, Xinyu Jiang, Yunhui Zhang, Lizhang Wu, Ran Wang, Jingnan Lu, Bo Wang, Kezhou Cai, Baocai Xu   +12 more
wiley   +1 more source

Compressed Data Collection Method for Wireless Sensor Networks Based on Optimized Dictionary Updating Learning

IEEE Access, 2020
Wireless sensor networks (WSNs) is composed of a large number of tiny sensors. These energy-constrained sensors are deployed in a variety of environments to collect data such as temperature, humidity, and light intensity.
Junying Chen, Fuqiang Zhou, Zhanshe Guo, Jiangwen Wan   +3 more
doaj   +1 more source

Dictionary learning with structured noise

Neurocomputing, 2018
Abstract Recently, lots of dictionary learning methods have been proposed and successfully applied. However, many of them assume that the noise in data is drawn from Gaussian or Laplacian distribution and therefore they typically adopt the l 2 or l 1 norm to characterize these two kinds of noise, respectively.
Pan Zhou 0002, Cong Fang 0001, Zhouchen Lin, Chao Zhang 0001, Edward Y. Chang   +4 more
openaire   +2 more sources

Learning to Represent Bilingual Dictionaries [PDF]

Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), 2019
CoNLL ...
Muhao Chen 0001, Yingtao Tian, Haochen Chen, Kai-Wei Chang 0001, Steven Skiena, Carlo Zaniolo   +5 more
openaire   +3 more sources

DDSurfer: A Weakly‐Supervised Dual‐Stream Deep Learning Framework for Cortical Surface Reconstruction From Diffusion MRI

Advanced Science, EarlyView.
DDSurfer reconstructs cortical surfaces directly from diffusion MRI without requiring T1‐weighted scans. By fusing complementary microstructural features and learning diffeomorphic deformations, it efficiently generates accurate white matter and pial surfaces, improving geometric fidelity and morphometric reliability across datasets for robust surface ...
Chengjin Li, Wei Zhang, Xi Zhu, Yuqian Chen, Nir A. Sochen, Jarrett Rushmore, Carl‐Fredrik Westin, Yogesh Rathi, Lauren J. O'Donnell, Ofer Pasternak, Fan Zhang   +10 more
wiley   +1 more source