Results 231 to 240 of about 948,099 (289)

Imaging intravoxel vessel size distribution in the brain using susceptibility contrast enhanced MRI. [PDF]

Imaging Neurosci (Camb)
Semmineh NB, Guha I, Healey D, Chandrasekharan A, Boxerman JL, Quarles CC.   +5 more
europepmc   +1 more source

Modeling, Evaluation, and In Vivo Estimation of Muscle Cell Diameter With the Random Permeable Barrier Model: Correlation With Subject Characteristics and Isometric Torque. [PDF]

NMR Biomed
Froeling M, Brenninkmeijer R, van der Woude DR, Bartels B, Heskamp L.   +4 more
europepmc   +1 more source

Maskit's Mathematical Contributions: The Smoothing Operator and DAAP Measures. [PDF]

J Psycholinguist Res
Susskind P.
europepmc   +1 more source

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Monitoring Dictionary Use

International Journal of Lexicography, 1997
Abstract There are two direct routes to more effective dictionary use: the first is to radically improve the dictionary; the second is to radically improve the users. If we are to do either of these things – and obviously we should try to do both – the sine qua non of any action is a very detailed knowledge of how people use dictionaries
B T S Atkins, Krista Varantola
openaire   +1 more source

Parallel Dictionaries Using AVL Trees

Journal of Parallel and Distributed Computing, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Medidi, Muralidhar, Deo, Narsingh
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Practical String Dictionary Compression Using String Dictionary Encoding

2017 International Conference on Big Data Innovations and Applications (Innovate-Data), 2017
A string dictionary is a data structure for storing a set of strings that maps them to unique IDs. It can manage string data in compact space by encoding them into integers. However, instances have recently emerged in practice where the size of string dictionaries has become a critical problem for very large datasets in many applications.
Shunsuke Kanda, Kazuhiro Morita, Masao Fuketa   +2 more
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Distributed Dictionary Learning Over Heterogeneous Clients Using Local Adaptive Dictionaries

2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021
This work examines the use of dictionary learning among distributed clients with heterogeneous tasks. We propose a distributed dictionary learning algorithm that enables collaborative training of a shared global dictionary among clients while adaptively constructing local dictionary elements to address the heterogeneity of local tasks.
You-De Huang, Y.- W. Peter Hong
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The Glycan Structure Dictionary—a dictionary describing commonly used glycan structure terms

Glycobiology, 2023
Abstract Recent technological advances in glycobiology have resulted in a large influx of data and the publication of many papers describing discoveries in glycoscience. However, the terms used in describing glycan structural features are not standardized, making it difficult to harmonize data across biomolecular databases, hampering the
Jeet Vora, Rahi Navelkar, K Vijay-Shanker, Nathan Edwards, Karina Martinez, Xiying Ding, Tianyi Wang, Peng Su, Karen Ross, Frederique Lisacek, Catherine Hayes, Robel Kahsay, Rene Ranzinger, Michael Tiemeyer, Raja Mazumder   +14 more
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