Results 31 to 40 of about 3,182,929 (347)
Sonification of probabilistic feedback through granular synthesis [PDF]
, 2005 We describe a method to improve user feedback, specifically the display of time-varying probabilistic information, through asynchronous granular synthesis. We have applied these techniques to challenging control problems as well as to the sonification of
R. Murray-Smith +3 more
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Modeling and Control of Lip Based on Double-Layer Muscle
Journal of Algorithms & Computational Technology, 2014 Lip model plays an important role in virtual facial expression and speech simulation. However, the structures and movements of existing lip models are very simple, and the common motions such as protruding, pouting and sipping are failed to totally ...
Chen Zhi-Xiang +3 more
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Granular computing as a tool of human data interaction - a cognitive cities use case [PDF]
, 2016 The article proposes granular computing as a theoretical, formal and methodological basis for the newly emerging research field of human–data interaction (HDI). We argue that the ability to represent and reason with information granules is a prerequisite
Edy Portmann +3 more
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Matroidal Structure of Generalized Rough Sets Based on Tolerance Relations
The Scientific World Journal, 2014 Rough set theory provides an effective tool to deal with uncertain, granular, and incomplete knowledge in information systems. Matroid theory generalizes the linear independence in vector spaces and has many applications in diverse fields, such as ...
Hui Li, Yanfang Liu, William Zhu
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IEEE Access, 2021 Granular computing is usually considered as a representative method for solving complex problems, which can be solved quickly through freely switching among different granular models.
Jinhui Li, Yunfeng Dong
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Improving quantum genetic optimization through granular computing
, 2023 Quantum computers promise to revolutionize the world of computing thanks to some features of quantum mechanics that can enable massive parallelism in computation.
Giovanni Acampora, Autilia Vitiello
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Covering-Based Rough Sets on Eulerian Matroids
Journal of Applied Mathematics, 2013 Rough set theory is an efficient and essential tool for dealing with vagueness and granularity in information systems. Covering-based rough set theory is proposed as a significant generalization of classical rough sets.
Bin Yang, Ziqiong Lin, William Zhu
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Cost-Sensitive Feature Selection of Numeric Data with Measurement Errors
Journal of Applied Mathematics, 2013 Feature selection is an essential process in data mining applications since it reduces a model’s complexity. However, feature selection with various types of costs is still a new research topic.
Hong Zhao, Fan Min, William Zhu
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Granular-ball computing: an efficient, robust, and interpretable adaptive multi-granularity representation and computation method [PDF]
arXiv.org, 2023 Human cognition operates on a"Global-first"cognitive mechanism, prioritizing information processing based on coarse-grained details. This mechanism inherently possesses an adaptive multi-granularity description capacity, resulting in computational traits
Shuyin Xia, Guoyin Wang, Xinbo Gao
semanticscholar +1 more source
Morse theory-based segmentation and fabric quantification of granular materials
, 2022 This article presents a robust Morse theory-based framework for segmenting 3D X-ray computed tomography image (CT) and computing the fabric, relative arrangement of particles, of granular ensembles.
Pandey, Karran, +11 more
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