Results 41 to 50 of about 572,458 (282)
A Dictionary Learning Based Automatic Modulation Classification Method
IEEE Access, 2018 As the process of identifying the modulation format of the received signal, automatic modulation classification (AMC) has various applications in spectrum monitoring and signal interception.
Kezhong Zhang +3 more
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A Greedy Deep Learning Method for Medical Disease Analysis
IEEE Access, 2018 This paper proposes a new deep learning method, the greedy deep weighted dictionary learning for mobile multimedia for medical diseases analysis. Based on the traditional dictionary learning methods, which neglects the relationship between the sample and
Chunxue Wu +4 more
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Learning fast sparsifying overcomplete dictionaries [PDF]
2017 25th European Signal Processing Conference (EUSIPCO), 2017 Publication in the conference proceedings of EUSIPCO, Kos island, Greece ...
Rusu, Cristian, Thompson, John
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Dictionary Learning with Accumulator Neurons
Proceedings of the International Conference on Neuromorphic Systems 2022, 2022 The Locally Competitive Algorithm (LCA) uses local competition between non-spiking leaky integrator neurons to infer sparse representations, allowing for potentially real-time execution on massively parallel neuromorphic architectures such as Intel's Loihi processor. Here, we focus on the problem of inferring sparse representations from streaming video
Parpart, Gavin +8 more
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Artificial Intelligence as the Next Visionary in Liquid Crystal Research
Advanced 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
Remote Sensing Image Fusion Based on Nonnegative Dictionary Learning
IEEE Access, 2021 For the problem of Panchromatic and multispectral remote sensing image fusion, we propose a remote sensing image fusion algorithm based on nonnegative dictionary learning. The basic idea of the algorithm is to use the panchromatic image with high spatial
Junhua Wang +3 more
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Dictionary Learning Guided by Minimum Class Variance Support Vector [PDF]
Jisuanji gongcheng, 2020 Existing Support Vector Guided Dictionary Learning(SVGDL) algorithm based on the principle of large-margin classification.When establishing decision-making hyperplanes,the algorithms consider only the boundary conditions of each class of encoding vectors,
WANG Xiaoming, XU Tao, RAN Biao
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Statistical mechanics of dictionary learning [PDF]
EPL (Europhysics Letters), 2013 Finding a basis matrix (dictionary) by which objective signals are represented sparsely is of major relevance in various scientific and technological fields. We consider a problem to learn a dictionary from a set of training signals. We employ techniques of statistical mechanics of disordered systems to evaluate the size of the training set necessary ...
Ayaka Sakata, Yoshiyuki Kabashima
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Information Transmission Strategies for Self‐Organized Robotic Aggregation
Advanced Robotics Research, EarlyView.In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng +5 more
wiley +1 more source
Online multi-modal robust non-negative dictionary learning for visual tracking.
PLoS ONE, 2015 Dictionary learning is a method of acquiring a collection of atoms for subsequent signal representation. Due to its excellent representation ability, dictionary learning has been widely applied in multimedia and computer vision.
Xiang Zhang +4 more
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