Results 281 to 290 of about 275,247 (311)

Class-Incremental Generalized Discriminant Analysis

Neural Computation, 2006
Generalized discriminant analysis (GDA) is the nonlinear extension of the classical linear discriminant analysis (LDA) via the kernel trick. Mathematically, GDA aims to solve a generalized eigenequation problem, which is always implemented by the use of singular value decomposition (SVD) in the previously proposed GDA algorithms.
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Efficient spark analysis on incremental datasets

Proceedings of the 4th International Conference on Communication and Information Processing, 2018
Distributed analysis platform such as Spark provides an unprecedented capacity on big data analysis processing, especially, for Extract-Transform-Load (ETL), which has won the wide recognition by academia and industry. The performance based on Spark, however, comes from immutable datasets losing flexibility of mutable ones with trivial changes ...
Wei Sheng, Zhao Cao, Dacheng Qu
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Error Analysis of Pressure Increment Schemes

SIAM Journal on Numerical Analysis, 2000
The author proves that for time-periodic calculations the pressure increment scheme generates second-order accurate computed velocities. The computed pressure has a boundary layer of thickness of \(O(k)\) with smooth error beginning from the thickness of \(O(k^2)\).
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Incremental analysis of large VLSI Layouts

Integration, 2009
The verification of VLSI layouts is an important and expensive step in physical design process and has significant contribution in overall design cycle time. Design rule checking, connectivity extraction and device extraction are important steps in layout analysis.
Akash Agrawal, Prosenjit Gupta
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Class-Incremental Learning: Survey and Performance Evaluation on Image Classification

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Marc Masana, Xialei Liu, Bartłomiej Twardowski   +2 more
exaly  

Incremental Analysis

2021
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Incremental learning with neural networks for computer vision: a survey

Artificial Intelligence Review, 2022
Jiaqi Zhao, Rui Yao, Zhiwen Shao
exaly  

Incremented Flutter Analysis

Journal of Aircraft, 1973
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Incremental feature selection based on fuzzy rough sets

Information Sciences, 2020
Suyun Zhao, Xizhao Wang, Suyun Zhao
exaly  

Partial analysis increments

Partial analysis increments (PAI) beziehen sich auf Spalten der Kalman-Gain, die mit ihren jeweiligen Beobachtungsabweichungen in einem Kalman-Filter multipliziert werden. Es wird eine neue, von Diefenbach et al. (2023) eingeführte Methode zur Verwendung von PAI mittels Annäherung von Analysen mit modifizierten Lokalisierungsfunktionen, ,retrospektive ...
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