Results 21 to 30 of about 8,855 (158)
A comprehensive survey of anomaly detection techniques for high dimensional big data
Journal of Big Data, 2020 Anomaly detection in high dimensional data is becoming a fundamental research problem that has various applications in the real world. However, many existing anomaly detection techniques fail to retain sufficient accuracy due to so-called “big data ...
Srikanth Thudumu +3 more
doaj +1 more source
Curse of Dimensionality in Pivot Based Indexes [PDF]
2009 Second International Workshop on Similarity Search and Applications, 2009 9 pp., 4 figures, latex 2e, a revised submission to the 2nd International Workshop on Similarity Search and Applications ...
Volnyansky, Ilya, Pestov, Vladimir
openaire +2 more sources
Egyptian Journal of Remote Sensing and Space Sciences, 2018 The curse of dimensionality resulted from insufficient training samples and redundancy is considered as an important problem in the supervised classification of hyperspectral data. This problem can be handled by Feature Subset Selection (FSS) methods and
Amir Salimi +5 more
doaj +1 more source
A survey of band selection techniques for hyperspectral image classification
Journal of Spectral Imaging, 2020 Hyperspectral images usually contain hundreds of contiguous spectral bands, which can precisely discriminate the various spectrally similar classes. However, such high-dimensional data also contain highly correlated and irrelevant information, leading to
Shrutika S. Sawant, Manoharan Prabukumar
doaj +1 more source
CNNs Avoid the Curse of Dimensionality by Learning on Patches
IEEE Open Journal of Signal Processing, 2023 Despite the success of convolutional neural networks (CNNs) in numerous computer vision tasks and their extraordinary generalization performances, several attempts to predict the generalization errors of CNNs have only been limited to a posteriori ...
Vamshi C. Madala +2 more
doaj +1 more source
Breaking the curse of dimensionality [PDF]
Dissertationes Mathematicae, 2000 This dissertation covers a very actual research topic -- numerical treatment of high-dimensional problems. This research work is a contribution to the theory of information-based complexity (IBC). The first chapter is an introduction and contains abstract problems connected with IBC.
openaire +2 more sources
Breaking the curse of dimensionality in nonparametric testing [PDF]
Journal of Econometrics, 2008 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lavergne, Pascal, Patilea, Valentin
openaire +7 more sources
High-Dimensional Brain in a High-Dimensional World: Blessing of Dimensionality
Entropy, 2020 High-dimensional data and high-dimensional representations of reality are inherent features of modern Artificial Intelligence systems and applications of machine learning.
Alexander N. Gorban +2 more
doaj +1 more source
A Reward Optimization Method Based on Action Subrewards in Hierarchical Reinforcement Learning
The Scientific World Journal, 2014 Reinforcement learning (RL) is one kind of interactive learning methods. Its main characteristics are “trial and error” and “related reward.” A hierarchical reinforcement learning method based on action subrewards is proposed to solve the problem of ...
Yuchen Fu +3 more
doaj +1 more source
Limit Theorems as Blessing of Dimensionality: Neural-Oriented Overview
Entropy, 2021 As a system becomes more complex, at first, its description and analysis becomes more complicated. However, a further increase in the system’s complexity often makes this analysis simpler.
Vladik Kreinovich, Olga Kosheleva
doaj +1 more source