A Tensor Space for Multi-View and Multitask Learning Based on Einstein and Hadamard Products: A Case Study on Vehicle Traffic Surveillance Systems [PDF]
SensorsSince multi-view learning leverages complementary information from multiple feature sets to improve model performance, a tensor-based data fusion layer for neural networks, called Multi-View Data Tensor Fusion (MV-DTF), is used. It fuses M feature spaces
Fernando Hermosillo-Reynoso +1 more
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Multilinear Maps from Obfuscation [PDF]
Journal of Cryptology, 2020 AbstractWe provide constructions of multilinear groups equipped with natural hard problems from indistinguishability obfuscation, homomorphic encryption, and NIZKs. This complements known results on the constructions of indistinguishability obfuscators from multilinear maps in the reverse direction.
Albrecht, Martin R. +5 more
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Prioritization of Effective Factors and Flood Susceptibility Zonation Using Probabilistic Models and GIS in Gorganrood Watershed Golestan Province [PDF]
پژوهشهای آبخیزداری, 2023 Introduction and Objective Floods and earthquakes are the most common and unpredictable natural events that harm communities by affecting life and property and affect the landforms of the basin. Therefore, in ways to reduce the effects of natural events,
Kourosh Shirani, Mohammad Ali Sadri
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Cryptanalysis of FRS obfuscation based on the CLT13 multilinear map
IET Information Security, 2022 The authors present a classical polynomial‐time attack against the branching program obfuscator of Fernando–Rasmussen–Sahai (for short FRS, Asiacrypt’17) (with one zerotest parameter), which is robust against all known classical cryptanalyses on ...
Jiseung Kim, Changmin Lee
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Global ocean dimethyl sulfide climatology estimated from observations and an artificial neural network [PDF]
Biogeosciences, 2020 Marine dimethyl sulfide (DMS) is important to climate due to the ability of DMS to alter Earth's radiation budget. Knowledge of the global-scale distribution, seasonal variability, and sea-to-air flux of DMS is needed in order to improve understanding of
W.-L. Wang +7 more
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Statistical Learning-Based Spatial Downscaling Models for Precipitation Distribution
Advances in Meteorology, 2022 The downscaling technique produces high spatial resolution precipitation distribution in order to analyze impacts of climate change in data-scarce regions or local scales.
Yichen Wu +3 more
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Farming and Earth Observation: Sentinel-2 data to estimate within-field wheat grain yield
International Journal of Applied Earth Observations and Geoinformation, 2022 Wheat grain yield (GY) is a crop feature of central importance affecting agricultural, environmental, and socioeconomic sustainability worldwide.
Joel Segarra +2 more
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Structure vs Randomness for Bilinear Maps
Discrete Analysis, 2022 Structure vs randomness for bilinear maps, Discrete Analysis 2022:12, 21 pp. A _tensor_ can be thought of as a higher-dimensional analogue of a matrix (where a matrix is 2-dimensional).
Guy Moshkovitz, Alex Cohen
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Weakly compact multilinear mappings [PDF]
Proceedings of the Edinburgh Mathematical Society, 1997 The notion of Arens regularity of a bilinear form on a Banach space E is extended to continuous m-linear forms, in such a way that the natural associated linear mappings, E→L (m−1E) and (m – l)-linear mappings E × … × E → E', are all weakly compact. Among other applications, polynomials whose first derivative is weakly compact are characterized.
Aron, Richard M., Galindo, Pablo
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Application of Gap Metric to LADRC Design in Multilinear Model of SDR
International Journal of Aerospace Engineering, 2022 The solid ducted rocket ramjet (SDR) system faces many disturbances in the process of operation, and the linear active disturbance rejection controller (LADRC) has been widely used in engineering to solve such problems.
Hongfu Wang +3 more
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