Results 11 to 20 of about 20,859 (261)
Projected Minimal Gated Recurrent Unit for Speech Recognition [PDF]
IEEE Access, 2020 Recurrent neural network (RNN) has the ability to learn long-term dependencies, which makes it suitable for acoustic modeling in speech recognition. In this paper, we revise RNN model used in acoustic modeling, namely, mGRUIP with Context module (mGRUIP ...
Renjian Feng +4 more
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A Bayesian Interpretation of the Light Gated Recurrent Unit [PDF]
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021 We summarise previous work showing that the basic sigmoid activation function arises as an instance of Bayes’s theorem, and that recurrence follows from the prior. We derive a layerwise recurrence without the assumptions of previous work, and show that it leads to a standard recurrence with modest modifications to reflect use of log-probabilities.
Alexandre Bittar, Philip N. Garner
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Gated Recurrent Unit for Video Denoising
CoRR, 2022 5 pages, 5 ...
Kai Guo, Seungwon Choi, Jongseong Choi
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On the stability properties of Gated Recurrent Units neural networks [PDF]
Systems & Control Letters, 2021 The goal of this paper is to provide sufficient conditions for guaranteeing the Input-to-State Stability (ISS) and the Incremental Input-to-State Stability (δISS) of Gated Recurrent Units (GRUs) neural networks. These conditions, devised for both single-layer and multi-layer architectures, consist of nonlinear inequalities on network's weights.
Bonassi F., Farina M., Scattolini R.
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Gate-variants of Gated Recurrent Unit (GRU) neural networks [PDF]
2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS), 2017 The paper evaluates three variants of the Gated Recurrent Unit (GRU) in recurrent neural networks (RNN) by reducing parameters in the update and reset gates. We evaluate the three variant GRU models on MNIST and IMDB datasets and show that these GRU-RNN variant models perform as well as the original GRU RNN model while reducing the computational ...
Rahul Dey, Fathi M. Salem
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Point of Interest Recommendation Algorithm of Gated Recurrent Unit Based on Time Series and Distance [PDF]
Jisuanji gongcheng, 2020 Most Point of Interest(POI) recommendation algorithms are susceptible to the influence of time and geographical location,causing incompleteness and ambiguity in related text information of POI.Starting from the correlation between time and geographical ...
XIA Yongsheng, WANG Xiaorui, BAI Peng, LI Mengmeng, XIA Yang, ZHANG Kai
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Light Gated Recurrent Units for Speech Recognition [PDF]
IEEE Transactions on Emerging Topics in Computational Intelligence, 2018 A field that has directly benefited from the recent advances in deep learning is Automatic Speech Recognition (ASR). Despite the great achievements of the past decades, however, a natural and robust human-machine speech interaction still appears to be out of reach, especially in challenging environments characterized by significant noise and ...
Mirco Ravanelli +3 more
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Temporal action localization using gated recurrent units
The Visual Computer, 2022 Temporal Action Localization (TAL) task which is to predict the start and end of each action in a video along with the class label of the action has numerous applications in the real world. But due to the complexity of this task, acceptable accuracy rates have not been achieved yet, whereas this is not the case regarding the action recognition task. In
Hassan Keshvari Khojasteh +2 more
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Sunspot Number Prediction Using Gated Recurrent Unit (GRU) Algorithm
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2021 Sunspot is an area on photosphere layer which is dark-colored. Sunspot is very important to be researched because sunspot is affected by sunspot numbers, which present the level of solar activity. This research was conducted to make prediction on sunspot
Unix Izyah Arfianti +4 more
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Temperature Compensation Method for Piezoresistive Pressure Sensors Based on Gated Recurrent Unit [PDF]
SensorsGuozheng Yan +2 more
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