Results 141 to 150 of about 6,486,492 (310)
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
Translation students' use of dictionaries: a Hong Kong case study for Chinese to English translation [PDF]
, 2009 The use of the dictionary and translation are both common language experiences. The dictionary is an indispensable tool to translating. Yet dictionary skills are grossly neglected in translator training, which assumes that students have acquired all the ...
Law, Wai-on
core
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
ADL: Active dictionary learning for sparse representation
, 2017 Using dictionary atoms to reconstruct input vectors is of great interest in spare representation. However, a key challenge is how to find a proper dictionary.
Man, Hong +7 more
core +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
Business Strategy and the Environment, EarlyView.ABSTRACT Widespread digital adoption has challenged our understanding of how these tools reshape collaboration, trust and sustainability outcomes across different institutional and network contexts. As networks now pursue resilience and sustainable development in parallel, we map emerging research directions and identify how collaboration and ...
Ari Carisza Graha Prasetia +1 more
wiley +1 more source
An augmented Lagrangian multi-scale dictionary learning algorithm
EURASIP Journal on Advances in Signal Processing, 2011 Learning overcomplete dictionaries for sparse signal representation has become a hot topic fascinated by many researchers in the recent years, while most of the existing approaches have a serious problem that they always lead to local minima.
Ye Meng +4 more
doaj
Explainable Multimodal Deep Dictionary Learning to Capture Developmental Differences From Three fMRI Paradigms. [PDF]
IEEE Trans Biomed Eng, 2023 Yang L +6 more
europepmc +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT This study examines sectoral heterogeneity in corporate biodiversity disclosure (CBD) among Chinese listed firms over the period 2001–2023. Drawing on stakeholder, institutional, and resource dependency theories, it investigates how environmental exposure, ownership structures, and market dynamics influence biodiversity risk recognition and ...
Orkun Bayram +2 more
wiley +1 more source
A novel subject-wise dictionary learning approach using multi-subject fMRI spatial and temporal components. [PDF]
Sci Rep, 2023 Khalid MU, Nauman MM.
europepmc +1 more source