Results 81 to 90 of about 6,486,492 (310)
Higher Education: Increased and Equitable Access to Quality Learning Opportunities
, 2019 Given that many developing countries seek to increase participation in Higher Education (HE), COL will work with Ministries of Education and HE Institutions to support capacity building including the development and implementation of Open and Distance ...
Commonwealth of Learning
core +1 more source
Edulab: Majalah Ilmiah Laboratorium Pendidikan, 2020 This study aims to determine how the application of Al-Ma'any online dictionary media and whether there is a difference between learning that uses Al-Ma'any online dictionary media and those who do not use Al-Ma'any online dictionary media for Mahārah of
Aidah Fitriya
doaj +1 more source
A method of combining coherence-constrained sparse coding and dictionary learning for denoising
, 2017 We have addressed the seismic data denoising problem, in which the noise is random and has an unknown spatiotemporally varying variance. In seismic data processing, random noise is often attenuated using transform-based methods.
Turquais, Pierre +2 more
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Advanced Science, EarlyView.Computational simulations of tumor evolution are increasingly used to infer the rules underlying cancer growth, with the goal of one day recommending tailored treatments. Here we show that the properties of lung cancer sequencing data are best replicated by a model which assumes that cells compete both to proliferate and survive. ABSTRACT Computational
Helena Coggan +5 more
wiley +1 more source
SimCDL: A Simple Framework for Contrastive Dictionary Learning
Applied SciencesIn this paper, we propose a novel approach to the dictionary learning (DL) initialization problem, leveraging the SimCLR framework from deep learning in a self-supervised manner.
Denis C. Ilie-Ablachim +1 more
doaj +1 more source
CoSP: Reconfigurable Metamaterial Inverse Design via Contrastive Pretrained Large Language Model
Advanced Science, EarlyView.In this work, CoSP (contrastive multi‐state pretrain), an intelligent inverse design method for reconfigurable metamaterials based on a contrastive pretrained large language model, is proposed. Numerical experiments demonstrate that CoSP can design reconfigurable metamaterial structures for multi‐state, multi‐band optical responses, showing great ...
Shujie Yang +4 more
wiley +1 more source
Advanced Science, EarlyView.An interpretable, unsupervised artificial intelligence framework identifies a 13‐cellular morphometric biomarker (CMB) signature from routine H&E whole‐slide images. Validated across 2,602 patients, the fixed signature generalizes across colorectal, gastric, and esophageal tissues without retraining, stratifies prognosis and precancerous lesion risk ...
Pin Wang +14 more
wiley +1 more source
IEEE Access, 2019 Recently, many multi-atlas patch-based segmentation methods have been proposed and successfully implemented in various medical image applications. However, a precise segmentation of brain subcortical structures in a magnetic resonance image is still ...
Xiang Li +3 more
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Approximate Guarantees for Dictionary Learning
CoRR, 2019 Accepted for presentation at the Conference on Learning Theory (COLT ...
Aditya Bhaskara, Wai Ming Tai
openaire +4 more sources
On The Sample Complexity Of Sparse Dictionary Learning [PDF]
, 2014 This work was partially supported Cluster of Excellence CoTeSys funded by the German DFG. This work was partially supported by the EU FP7, SMALL project, FET-Open grant number 225913International audienceIn the synthesis model signals are represented as ...
Gribonval, Rémi +9 more
core +1 more source