Results 31 to 40 of about 25,642 (150)
Quantization Goes Polynomial [PDF]
SSRN Electronic Journal, 2017 Quantization algorithms have been successfully adopted to option pricing in finance thanks to the high convergence rate of the numerical approximation. In particular, very recently, recursive marginal quantization has been proven to be a flexible and versatile tool when applied to stochastic volatility processes.
Giorgia Callegaro +2 more
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Evaluating Robustness to Noise and Compression of Deep Neural Networks for Keyword Spotting
IEEE Access, 2023 Keyword Spotting (KWS) has been the subject of research in recent years given the increase of embedded systems for command recognition such as Alexa, Google Home, and Siri. Performance, model size, processing time, and robustness to noise are fundamental
Pedro H. Pereira +2 more
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Nonlinear Quantization Method of SAR Images with SNR Enhancement and Segmentation Strategy Guidance
Remote SensingThe quantization process of synthetic aperture radar (SAR) images faces significant challenges due to their high dynamic range, resulting in notable quantization distortion.
Zijian Yao +3 more
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Impact of climate change on the distribution of Ligustrum leucanthum using MaxEnt modeling
Scientific ReportsAnthropogenic climate change has hastened habitat loss and fragmentation for wild animals and vegetation. However, the absence of sufficient and trustworthy information on their geographical distribution has impeded effective conservation management ...
Guiquan Song +7 more
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IEEE Access, 2023 As recent machine translation models are mostly based on the attention-based neural machine translation (NMT), many well-known models such as Transformer or bidirectional encoder representations from Transformers (BERT) have been proposed.
Mijin Go, Joonho Kong, Arslan Munir
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Physics Letters B, 2013 In this paper we will analyse the creation of the multiverse. We will first calculate the wave function for the multiverse using third quantization. Then we will fourth quantize this theory. We will show that there is no single vacuum state for this theory. Thus, we can end up with a multiverse, even after starting from a vacuum state.
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Deep Hash Remote Sensing Image Retrieval with Hard Probability Sampling
Remote Sensing, 2020 As satellite observation technology improves, the number of remote sensing images significantly and rapidly increases. Therefore, a growing number of studies are focusing on remote sensing image retrieval. However, having a large number of remote sensing
Xue Shan +4 more
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Robust Precoding for Multi-User Visible Light Communications with Quantized Channel Information
Sensors, 2022 In this paper, we address the design of multi-user multiple-input single-output (MU-MISO) precoders for indoor visible light communication (VLC) systems. The goal is to minimize the transmitted optical power per light emitting diode (LED) under imperfect
Olga Muñoz +2 more
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Advances in Pruning and Quantization for Natural Language Processing
IEEE AccessWith ongoing advancements in natural language processing (NLP) and deep learning methods, the demand for computational and memory resources has considerably increased, which signifies the determination of efficient and compact models in resource ...
Ummara Bibi +7 more
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Convolution Smooth: A Post-Training Quantization Method for Convolutional Neural Networks
IEEE AccessConvolutional neural network (CNN) quantization is an efficient model compression technique primarily used for accelerating inference and optimizing resources.
Yongyuan Chen, Zhendao Wang
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