Results 71 to 80 of about 223,248 (273)

Intermolecular Interactions as Driving Force of Increasing Multiphoton Absorption in a Perylene Diimide‐Based Coordination Polymer

open access: yesAdvanced Functional Materials, EarlyView.
This study uncovers the unexplored role of intermolecular interactions in multiphoton absorption in coordination polymers. By analyzing [Zn2tpda(DMA)2(DMF)0.3], it shows how the electronic coupling of the chromophores and confinement in the MOF enhance two‐and three‐photon absorption.
Simon Nicolas Deger   +11 more
wiley   +1 more source

Traffic Scene Analysis using Hierarchical Sparse Topical Coding [PDF]

open access: yesAUT Journal of Electrical Engineering, 2018
Analyzing motion patterns in traffic videos can be exploited directly to generate high-level descriptions of the video contents. Such descriptions may further be employed in different traffic applications such as traffic phase detection and abnormal ...
P. Ahmadi, I. Gholampour, M. Tabandeh
doaj   +1 more source

Sparse Coding on Symmetric Positive Definite Manifolds using Bregman Divergences [PDF]

open access: yes, 2014
This paper introduces sparse coding and dictionary learning for Symmetric Positive Definite (SPD) matrices, which are often used in machine learning, computer vision and related areas.
Harandi, Mehrtash   +3 more
core  

Predicting Atomic Charges in MOFs by Topological Charge Equilibration

open access: yesAdvanced Functional Materials, EarlyView.
An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi   +2 more
wiley   +1 more source

Hyperspectral Image Classification via Slice Sparse Coding Tensor Based Classifier With Compressive Dimensionality Reduction

open access: yesIEEE Access, 2020
Tensor representation is the most natural and effective way to preserve the structural information of hyperspectral image (HSI), and thus is very beneficial to HSI processing.
Lixia Yang   +3 more
doaj   +1 more source

New Guarantees for Blind Compressed Sensing

open access: yes, 2015
Blind Compressed Sensing (BCS) is an extension of Compressed Sensing (CS) where the optimal sparsifying dictionary is assumed to be unknown and subject to estimation (in addition to the CS sparse coefficients).
Aghagolzadeh, Mohammad, Radha, Hayder
core   +1 more source

Mapping Nanoscale Buckling in Atomically Thin Cr2Ge2Te6

open access: yesAdvanced Functional Materials, EarlyView.
Atomic‐resolution STEM is used to resolve nanoscale buckling in monolayer Cr2Ge2Te₆. A noise‐robust image analysis reconstructs three‐dimensional lattice distortions from single plan‐view images, revealing pronounced defect‐driven nm‐scale out‐of‐plane buckling.
Amy Carl   +20 more
wiley   +1 more source

Parametric dictionary design for sparse coding [PDF]

open access: yes, 2009
—This paper introduces a new dictionary design method for sparse coding of a class of signals. It has been shown that one can sparsely approximate some natural signals using an overcomplete set of parametric functions, e.g. [1], [2].
Daudet, L., Davies, M.E., Yaghoobi, M.
core   +2 more sources

Variational Sparse Coding [PDF]

open access: yes, 2019
Unsupervised discovery of interpretable features and controllable generation with highdimensional data are currently major challenges in machine learning, with applications\ud in data visualisation, clustering and artificial\ud data synthesis. We propose a model based\ud on variational auto-encoders (VAEs) in which\ud interpretation is induced through ...
Tonolini, Francesco   +2 more
openaire  

Artificial Intelligence as the Next Visionary in Liquid Crystal Research

open access: yesAdvanced Functional Materials, EarlyView.
The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam   +2 more
wiley   +1 more source

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