Results 31 to 40 of about 6,054,309 (203)

SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation

IEEE Access
This article introduces semantically meaningful causal language modeling (SMCLM), a self-supervised method of training autoregressive models to generate semantically equivalent text. Our approach involves using semantically meaningful text representation
Michal Perelkiewicz, Slawomir Dadas, Rafal Poswiata   +2 more
doaj   +1 more source

Parallel multi-stage rectification networks for 3D skeleton-based motion prediction

Scientific Reports
It is noted that Recurrent Neural Networks (RNNs), which are widely used in human prediction tasks, have achieved promising performance in motion prediction, owing to RNNs’ robust capacity for spatial-temporal sequence modeling.
Jianqi Zhong, Conghui Ye, Wenming Cao, Hao Wang   +3 more
doaj   +1 more source

Energy-efficient multi-cell resource allocation in cognitive radio-enabled 5G systems

EURASIP Journal on Advances in Signal Processing, 2019
In this paper, we propose an energy-efficient resource allocation (RA) algorithm in cognitive radio-enabled 5th generation (5G) systems, where the scenario including one primary system and multiple secondary cells is considered.
Hengwei Lv, Pandong Li, Qinmengying Yan, Haijian Zhang   +3 more
doaj   +1 more source

Data Naming Mechanism of LEO Satellite Mega-Constellations for the Internet of Things

Applied Sciences, 2022
The low earth orbit (LEO) mega constellation for the internet of thing (IoT) has become one of the hot spots for B5G and 6G concerns. Information-centric networking (ICN) provides a new approach to the interconnection of everything in the LEO mega ...
Mingfei Xia, Shengbo Hu, Hongqiu Luo, Tingting Yan, Yanfeng Shi   +4 more
doaj   +1 more source

The Information Process and the Labour Process in the Information Age

tripleC: Communication, Capitalism & Critique. Open Access Journal for a Global Sustainable Information Society, 2017
This paper examines how information fundamentally influences the labour process in the information age. The process of becoming human in the labour process brings to the fore the notion of information and our dialectical interactions with our natural environment as organisms-in-the-environment.
Jaime F Cardenas-Garcia, Bruno Soria de Mesa, Diego Romero Castro   +2 more
openaire   +3 more sources

Importance weighted variational graph autoencoder

Complex & Intelligent Systems
Variational Graph Autoencoder (VGAE) is a widely explored model for learning the distribution of graph data. Currently, the approximate posterior distribution in VGAE-based methods is overly restrictive, leading to a significant gap between the ...
Yuhao Tao, Lin Guo, Shuchang Zhao, Shiqing Zhang   +3 more
doaj   +1 more source

SBSNet: Spatial–Spectral Background–Target Separation Network for Hyperspectral Target Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral target detection (HTD) aims to identify target locations in a hyperspectral image (HSI) using limited prior target spectra. Existing methods often use contrastive learning to construct target and background sample sets from unlabeled HSI ...
Jianlin Xiang, Yanshan Li, Linhui Dai, Ruo Qi, Haojin Tang, Li Zhang, Kunhua Zhang, Weixin Xie   +7 more
doaj   +1 more source

Efficient optical quantum information processing

, 2005
Quantum information offers the promise of being able to perform certain communication and computation tasks that cannot be done with conventional information technology (IT).
Barrett S D Kok P Nemoto K Beausoleil R G Munro W J Spiller T P, Eisert J, Kae Nemoto, Li X Voss P L Sharping J E Kumar P, Munro W J, Munro W J Nemoto K Beausoleil R G Spiller T P, Pieter Kok, R G Beausoleil, S D Barrett, Scheel S, Schmidt H, T P Spiller, W J Munro   +12 more
core   +1 more source

Variance Reduced Stochastic Gradient Descent with Neighbors

, 2015
Stochastic Gradient Descent (SGD) is a workhorse in machine learning, yet its slow convergence can be a computational bottleneck. Variance reduction techniques such as SAG, SVRG and SAGA have been proposed to overcome this weakness, achieving linear ...
Hofmann, Thomas, Lacoste-Julien, Simon, Lucchi, Aurelien, McWilliams, Brian   +3 more
core   +3 more sources

Information processing in the axon [PDF]

Nature Reviews Neuroscience, 2004
Axons link distant brain regions and are generally regarded as reliable transmission cables in which stable propagation occurs once an action potential has been generated. However, recent experimental and theoretical data indicate that the functional capabilities of axons are much more diverse than traditionally thought.
openaire   +3 more sources