Results 141 to 150 of about 6,752,036 (307)
Complete Dictionary Learning via l(p)-norm Maximization
, 2020 Dictionary learning is a classic representation learning method that has been widely applied in signal processing and data analytics. In this paper, we investigate a family of l(p)-norm (p > 2, p is an element of N) maximization approaches for the ...
Xue, Ye +4 more
core
Ensemble based classifiers using dictionary learning
, 2016 Dictionary learning is used in signal, image, audio and video processing applications to represent signals by a sparse set of atoms where sparse representations are managed for the problems of compression, denoising, feature extraction and data ...
Nazanin Moarref +5 more
core +1 more source
Automated Data‐Efficient Symbolic Regression for Interpretable Bioprocess Model Development
Biotechnology and Bioengineering, EarlyView.ABSTRACT Bioprocessing is central to the sustainable manufacture of pharmaceuticals, food products, and renewable chemicals. Consequently, developing high‐fidelity kinetic models to facilitate accurate process prediction, optimisation, and scale‐up is a top research priority.
Luca Riezzo +3 more
wiley +1 more source
Bulletin of the Korean Chemical Society, EarlyView.pyFDRT is an open‐source tool that converts an impedance spectrum into a quantitative equivalent circuit. Its Fourier‐transform stage requires no discretization basis or regularization parameter, and the non‐negative refinement selects its own parameters, and an information criterion determines the relaxation process count.
Chung‐Yul Yoo +2 more
wiley +1 more source
Oxford learner's pocket dictionary new edition tahun 1991
, 1991 Oxford learner's pocket dictionary new edition contain over 30.000 references, pronunciation at each entry, up to date vocabulary, includes America English can help you for learning English and want definitions which are clear and concise.vi, 490 hlm ...
Zakiyah M.Banjar. +1 more
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Business Strategy and the Environment, EarlyView.ABSTRACT This study investigates how directors with environmental protection (EP) backgrounds influence corporate biodiversity concern (BIO) among Chinese A‐share listed firms from 2008 to 2023. Drawing on Upper Echelons Theory, we argue that directors' environmental expertise shapes firms' biodiversity strategies.
Chengming Huang +2 more
wiley +1 more source
Incoherent dictionary learning and sparse representation for single-image rain removal
Tongxin xuebao, 2017 The incoherent dictionary learning and sparse representation algorithm was present and it was applied to single-image rain removal.The incoherence of the dictionary was introduced to design a new objective function in the dictionary learning,which ...
Hong-zhong TANG +4 more
doaj +2 more sources
Business Strategy and the Environment, EarlyView.ABSTRACT Sustainability reports (SRs) are widely criticized for vague disclosures and selective emphasis on positive outcomes, yet systematic research on two core SR challenges remains limited: materiality (whether disclosed content is relevant) and balance (whether both achievements and challenges are reported).
Mahsa Mohammadrezaei +1 more
wiley +1 more source
Bridging Academic Research and Business Practices at the Crossroad of Circular Economy and the SDGs
Business Strategy and the Environment, EarlyView.ABSTRACT The global shift toward sustainability has amplified interest in the Circular Economy, which aims to optimize resource use and minimize waste. In parallel, the Sustainable Development Goals (SDGs) provide a universal framework for addressing social, environmental, and economic challenges.
Corentin Juin, Andrea Nicolodi
wiley +1 more source
Dictionary Learning Based on Sparse Distribution Tomography [PDF]
We propose a new statistical dictionary learning algorithm for sparse signals that is based on an α-stable innovation model. The parameters of the underlying model—that is, the atoms of the dictionary, the sparsity index α and the dispersion of the ...
Salehi, F. +4 more
core +1 more source