Results 91 to 100 of about 522,381 (263)

Face recognition algorithm based on cascade sparse representation-based classifier

Gong-kuang zidonghua, 2014
For problem of high complexity, slow identification of algorithm based on sparse representation-based classifier, the paper proposed face recognition algorithm based on cascade sparse representation-based classifier.
YANG Yu
doaj   +1 more source

Dynamic Precipitation during High‐Pressure Torsion of a Magnesium–Manganese Alloy

Advanced Engineering Materials, EarlyView.
An ultrafine‐grained alloy is produced by high‐pressure torsion of solutionized Mg–1.35 wt% Mn. Precipitation of nanometer‐scale Mn particles during deformation provides pinning sites. This prevents the formation of a bimodal grain structure and results in a finer grain size than for pure Mg.
Julian M. Rosalie, Anton Hohenwarter
wiley   +1 more source

Bimetallic (NiFe) and Trimetallic (NiFeCr) Nanoalloys from Metal Oxides Using a Microwave Hydrogen Plasma

Advanced Engineering Materials, EarlyView.
Bimetallic (NiFe) and trimetallic (NiFeCr) nanoalloys (NAs) are synthesized using corresponding oxide mixtures using microwave hydrogen plasma within a few milliseconds. The process simultaneously 1) reduces metal oxides to metals; 2) downsizes the particles from micrometers to nanometers; and 3) blends the metals to form NAs.
Sachin Kumar, Mohammad Kazemi, Zichang Xiong, Thomas Cameron, Julian Held, Uwe Kortshagen   +5 more
wiley   +1 more source

Image fusion method based on simultaneous sparse representation with non‐subsampled contourlet transform

IET Computer Vision, 2019
The image fusion method based on sparse representation in the single‐scale image domain has produced better fusion results than the classic methods based on multi‐scale analysis nowadays.
Guiqing He, Siyuan Xing, Xingjian He, Jun Wang, Jianping Fan   +4 more
doaj   +1 more source

Automatic Face Recognition Based on Sparse Representation and Extended Transfer Learning

IEEE Access, 2019
Sparse representation has exhibited excellent performance in face recognition. However, this method requires some areas for improvement, especially on insufficient face samples.
Zhi Liu, Dongmei Jiang, Yujun Li, Yankun Cao, Mingyu Wang, Yong Xu   +5 more
doaj   +1 more source

A group sparsity-driven approach to 3-D action recognition [PDF]

, 2011
In this paper, a novel 3-D action recognition method based on sparse representation is presented. Silhouette images from multiple cameras are combined to obtain motion history volumes (MHVs).
Cetin, Mujdat, Cosar, Serhan, Coşar, Serhan, Çetin, Müjdat   +3 more
core  

Unlearning via Sparse Representations

, 2023
Machine \emph{unlearning}, which involves erasing knowledge about a \emph{forget set} from a trained model, can prove to be costly and infeasible by existing techniques. We propose a nearly compute-free zero-shot unlearning technique based on a discrete representational bottleneck. We show that the proposed technique efficiently unlearns the forget set
Shah, Vedant, Träuble, Frederik, Malik, Ashish, Larochelle, Hugo, Mozer, Michael, Arora, Sanjeev, Bengio, Yoshua, Goyal, Anirudh   +7 more
openaire   +2 more sources

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

Advanced 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, Anna Mauri, Yang Cui, Sebastian Josef Weishäupl, Ali Deniz Özdemir, Hamad Syed, Aleksandr Ovsianikov, Wolfgang Wenzel, Alexander Pöthig, Jürgen Hauer, Mariana Kozlowska, Roland Augustinus Fischer   +11 more
wiley   +1 more source

Group Sparse Representation Based Dictionary Learning for SAR Image Despeckling

IEEE Access, 2019
Since the sparse representation coefficients of synthetic aperture radar (SAR) images often appear in clusters with intrinsic structure, traditional sparse representation theory cannot capture this property.
Su Liu, Gong Zhang, Wenbo Liu
doaj   +1 more source

Atomic Size Misfit for Electrocatalytic Small Molecule Activation

Advanced Functional Materials, EarlyView.
This review explores the application and mechanisms of atomic size misfit in catalysis for small molecule activation, focusing on how structural defects and electronic properties can effectively lower the energy barriers of chemical bonds in molecules like H2O, CO2, and N2.
Ping Hong, Changfan Xu, Huaping Zhao, Yong Lei   +3 more
wiley   +1 more source