Results 151 to 160 of about 6,752,036 (307)
, 2016 Dictionary learning has played an important role in the success of sparse representation. Although synthesis dictionary learning for sparse representation has been well studied for universality representation (i.e., the dictionary is universal to all ...
Yang, Meng +7 more
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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
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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
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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
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Business Strategy and the Environment, EarlyView.ABSTRACT This study provides an exploratory, descriptive analysis of how knowledge management (KM) research engages with responsible sustainability from a strategic perspective. Using bibliometric science mapping, we analyse 97 Web of Science publications to identify dominant thematic patterns, relative emphases and conceptual blind spots shaping the ...
Jaime J. González‐Masip
wiley +1 more source
$\mathbf{M^*}$-Regularized Dictionary Learning
, 2018 Classical dictionary learning methods simply normalize dictionary columns at each iteration, and the impact of this basic form of regularization on generalization performance (e.g. compression ratio on new images) is unclear.
d'Aspremont, Alexandre, Barré, Mathieu
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This is a 3-in-1 reference book. It gives a complete medical dictionary covering hundreds of terms and expressions relating to learning disabilities. It also gives extensive lists of bibliographic citations.
Parker, James N., Parker, Philip M.
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Matching pursuits coding using dynamic learning dictionary [PDF]
Recently, an efficient video coding method at low bit rate using Matching Pursuits (MP) has been proposed. The MP coding method represents a signal in an approximate form using a dictionary. Therefore, coding performance depends greatly on the dictionary.
544 +7 more
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INCOHERENT DICTIONARY LEARNING FOR SPARSE REPRESENTATION BASED IMAGE DENOISING
, 2014 Dictionary learning for sparse representation has been an ac-tive topic in the field of image processing. Most existing dic-tionary learning schemes focus on the representation ability of the learned dictionary.
Jin Wang +7 more
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Business Strategy and the Environment, EarlyView.ABSTRACT Over the past decades, sustainability has emerged as a defining global priority, reshaping firms' role in driving systemic change. In this context, corporate purpose has gained renewed prominence as a key mechanism to align organizational priorities with broader societal commitments.
Lucia Barra +2 more
wiley +1 more source