Results 11 to 20 of about 212,585 (307)
SiRnn: A Math Library for Secure RNN Inference [PDF]
IEEE Symposium on Security and Privacy, 2021 Complex machine learning (ML) inference algorithms like recurrent neural networks (RNNs) use standard functions from math libraries like exponentiation, sigmoid, tanh, and reciprocal of square root.
Deevashwer Rathee +6 more
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Review on recent Computer Vision Methods for Human Action Recognition
Advances in Distributed Computing and Artificial Intelligence Journal, 2022 The subject of human activity recognition is considered an important goal in the domain of computer vision from the beginning of its development and has reached new levels. It is also thought of as a simple procedure.
Azhee Wria Muhamada, Aree A. Mohammed
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Dual-Path RNN: Efficient Long Sequence Modeling for Time-Domain Single-Channel Speech Separation [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2019 Recent studies in deep learning-based speech separation have proven the superiority of time-domain approaches to conventional time-frequency-based methods.
Yi Luo, Zhuo Chen, Takuya Yoshioka
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Proceedings of the 2008 ACM symposium on Applied computing, 2008 The amount of data collected and stored in databases is growing considerably in almost all areas of human activity. In complex applications the data involves several relations and proposionalization is not a suitable approach. Multi-Relational Data Mining algorithms can analyze data from multiple relations, with no need to transform the data into a ...
Nuno A. Fonseca +2 more
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CNN-RNN: A Unified Framework for Multi-label Image Classification [PDF]
Computer Vision and Pattern Recognition, 2016 While deep convolutional neural networks (CNNs) have shown a great success in single-label image classification, it is important to note that real world images generally contain multiple labels, which could correspond to different objects, scenes ...
Jiang Wang +5 more
semanticscholar +1 more source
Advances in Distributed Computing and Artificial Intelligence Journal, 2021 Domain Name System (DNS) is a protocol for converting numeric IP addresses of websites into a human-readable form. With the development of technology, to transfer information, a method like DNS tunneling is used which includes data encryption into DNS ...
Dr. Gopal Sakarkar +6 more
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Proceedings of the 34th ACM International Conference on Supercomputing, 2020 Recurrent neural networks (RNNs) have been widely adopted in temporal sequence analysis, where realtime performance is often in demand. However, RNNs suffer from heavy computational workload as the model often comes with large weight matrices. Pruning schemes have been proposed for RNNs to eliminate the redundant (close-to-zero) weight values.
Shi, Runbin +8 more
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Data Science in Finance and Economics, 2023 This study is a review of literature on machine learning to examine the potential of deep learning (DL) techniques in improving the accuracy of option pricing models versus the Black-Scholes model and capturingcomplex features in financial data ...
Habib Zouaoui, Meryem-Nadjat Naas
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Research progress on neural network algorithms for mixed gas detection in coal mines
Gong-kuang zidonghua, 2023 When coal mine gas sensors are used for mixed gas detection, there is cross interference between measurement signals. It is difficult to ensure detection accuracy.
JIAO Mingzhi +4 more
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Distributed Online Pre-Processing Framework for Big Data Sentiment Analytics [PDF]
Journal of Artificial Intelligence and Data Mining, 2022 Performing sentiment analysis on social networks big data can be helpful for various research and business projects to take useful insights from text-oriented content.
M. Molaei, D. Mohamadpur
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