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检索条件"任意字段=Conference on Neural Network and Distributed Processing"
2988 条 记 录,以下是291-300 订阅
排序:
MODEL-distributed INFERENCE IN MULTI-SOURCE EDGE networkS
MODEL-DISTRIBUTED INFERENCE IN MULTI-SOURCE EDGE NETWORKS
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IEEE International conference on Acoustics, Speech, and Signal processing (ICASSP)
作者: Li, Pengzhen Seferoglu, Hulya Koyuncu, Erdem Univ Illinois Dept Elect & Comp Engn Chicago IL USA
distributed inference techniques can be broadly classified into data-distributed and model-distributed schemes. In data-distributed inference (DDI), each worker carries the entire deep neural network (DNN) model, but ... 详细信息
来源: 评论
Mapping neural network models onto Transputers
Mapping neural network models onto Transputers
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International Joint conference on neural networks - IJCNN-91-Seattle
作者: Barac, Magali E.Azema Comput Sci Dept Univ Coll London UK
Summary form only given, as follows. neural network models are reviewed from the point of view of parallel distributed processing models. More specifically, the interactions between neural models and the computational... 详细信息
来源: 评论
N2SkyC-User Friendly and Efficient neural network Simulation Fostering Cloud Containers  25th
N2SkyC-User Friendly and Efficient Neural Network Simulation...
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25th International conference on neural Information processing (ICONIP)
作者: Adamenko, Aliaksandr Fedorenko, Andrii Schikuta, Erich Univ Vienna Fac Comp Sci Wahringerstr 29 A-1090 Vienna Austria
Y Sky computing is a new computing paradigm leveraging resources of multiple Cloud providers to create a large scale distributed infrastructure. N2Sky is a research initiative promising a framework for the utilization... 详细信息
来源: 评论
neural-network PROCESSOR FOR N-MODE FIBER OPTIC SENSORS  4
NEURAL-NETWORK PROCESSOR FOR N-MODE FIBER OPTIC SENSORS
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4th International conference on Applications of Artificial neural networks
作者: HOU, H GROSSMAN, B FLORIDA INST TECHNOL DEPT ELECT ENGNMELBOURNEFL 32901
The n-mode fiber optic sensor built has four linearly polarized (LP) modes propagating simultaneously in the fiber, producing a two-dimensional, spatially distributed output intensity pattern. When the fiber is strain... 详细信息
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distributed LINK SPARSIFICATION FOR SCALABLE SCHEDULING USING GRAPH neural networkS  47
DISTRIBUTED LINK SPARSIFICATION FOR SCALABLE SCHEDULING USIN...
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47th IEEE International conference on Acoustics, Speech and Signal processing (ICASSP)
作者: Zhao, Zhongyuan Swami, Ananthram Segarra, Santiago Rice Univ Houston TX 77251 USA US Armys DEVCOM Army Res Lab Adelphi MD USA
distributed scheduling algorithms for throughput or utility maximization in dense wireless multi-hop networks can have overwhelmingly high overhead, causing increased congestion, energy consumption, radio footprint, a... 详细信息
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Response to External Input of Chaotic neural networks Based on Newman-Watts Model
Response to External Input of Chaotic Neural Networks Based ...
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International Joint conference on neural networks (IJCNN)
作者: Shibasaki, Manabu Adachi, Masaharu Tokyo Denki Univ Grad Sch Engn Adachi Ku Tokyo 1208551 Japan
In this paper, the synchronization characteristics in response to external inputs are investigated for chaotic neural networks with coupled lattices based on the Newman-Watts model. The Newman-Watts model was original... 详细信息
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WIDE AND DEEP GRAPH neural networkS WITH distributed ONLINE LEARNING
WIDE AND DEEP GRAPH NEURAL NETWORKS WITH DISTRIBUTED ONLINE ...
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IEEE International conference on Acoustics, Speech and Signal processing (ICASSP)
作者: Gao, Zhan Ribeiro, Alejandro Gama, Fernando Univ Penn Dept Elect & Syst Engn Philadelphia PA 19104 USA Univ Calif Berkeley Dept Elect Engn & Comp Sci Berkeley CA 94720 USA
Graph neural networks (GNNs) learn representations from network data with naturally distributed architectures, rendering them well-suited candidates for decentralized learning. Oftentimes, this decentralized graph sup... 详细信息
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Fault tolerance in small world cellular neural networks for image processing
Fault tolerance in small world cellular neural networks for ...
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21st International conference on Advanced Information networking and ApplicationsWorkshops/Symposia, AINAW'07
作者: Matsumoto, Katsuyoshi Mori, Hideki Uehara, Minoru Department of Open Information Systems Graduate School of Engineering Toyo University Saitama Japan
In this paper, a fault tolerant CNN (Cellular neural network) using a small world network connection for image processing in embedded systems is described. In embedded systems, there are problems such as compactness, ... 详细信息
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A QoS network Architecture to Interconnect Large-Scale VLSI neural networks
A QoS Network Architecture to Interconnect Large-Scale VLSI ...
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International Joint conference on neural networks
作者: Philipp, Stefan Schemmel, Johannes Meier, Karlheinz Heidelberg Univ Kirchhoff Inst Phys D-69120 Heidelberg Germany
This paper presents a network architecture to interconnect VLSI1 neural network chips to build a distributed ANN(2) system. The architecture combines techniques from circuit switching and packet switching to provide t... 详细信息
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Parallel distributed processing: Practical applications of neural networks in signal processing
Parallel distributed processing: Practical applications of n...
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COMSIG 88 - Southern African conference on Communications and Signal processing
作者: Schoonees, J.A. CSIR Div for Microelectron & Commun Technol Pretoria S Afr
An introduction to artificial neural network models is presented, along with an overview of their practical application and potential applications in signal processing. Successful neural network implementations are de... 详细信息
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