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Scene Recognition by Manifold Regularized Deep Learning Architecture
Scene Recognition by Manifold Regularized Deep Learning Architecture
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Scene Recognition by Manifold Regularized Deep Learning Architecture

Yuan, Yuan ; Mou, Lichao ; Lu, Xiaoqiang

IEEE transaction on neural networks and learning systems, 2015-10, Vol.26 (10), p.2222-2233

United States: IEEE

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2
Neural Architecture Search Survey: A Hardware Perspective
Neural Architecture Search Survey: A Hardware Perspective
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Neural Architecture Search Survey: A Hardware Perspective

Chitty-Venkata, Krishna Teja ; Somani, Arun K.

ACM computing surveys, 2022-11, Vol.55 (4), p.1-36, Article 78 [Revista revisada por pares]

New York, NY: ACM

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3
Distributed Deep Learning-based Offloading for Mobile Edge Computing Networks
Distributed Deep Learning-based Offloading for Mobile Edge Computing Networks
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Distributed Deep Learning-based Offloading for Mobile Edge Computing Networks

Huang, Liang ; Feng, Xu ; Feng, Anqi ; Huang, Yupin ; Qian, Li Ping

Mobile networks and applications, 2022-06, Vol.27 (3), p.1123-1130 [Revista revisada por pares]

New York: Springer US

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4
On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures
On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures
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On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures

Bianchini, Monica ; Scarselli, Franco

IEEE transaction on neural networks and learning systems, 2014-08, Vol.25 (8), p.1553-1565

New York, NY: IEEE

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5
SCANN: Synthesis of Compact and Accurate Neural Networks
SCANN: Synthesis of Compact and Accurate Neural Networks
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SCANN: Synthesis of Compact and Accurate Neural Networks

Hassantabar, Shayan ; Wang, Zeyu ; Jha, Niraj K.

IEEE transactions on computer-aided design of integrated circuits and systems, 2022-09, Vol.41 (9), p.3012-3025 [Revista revisada por pares]

New York: IEEE

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6
OPU: An FPGA-Based Overlay Processor for Convolutional Neural Networks
OPU: An FPGA-Based Overlay Processor for Convolutional Neural Networks
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OPU: An FPGA-Based Overlay Processor for Convolutional Neural Networks

Yu, Yunxuan ; Wu, Chen ; Zhao, Tiandong ; Wang, Kun ; He, Lei

IEEE transactions on very large scale integration (VLSI) systems, 2020-01, Vol.28 (1), p.35-47 [Revista revisada por pares]

New York: IEEE

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7
Efficient Online Learning Algorithms Based on LSTM Neural Networks
Efficient Online Learning Algorithms Based on LSTM Neural Networks
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Efficient Online Learning Algorithms Based on LSTM Neural Networks

Ergen, Tolga ; Kozat, Suleyman Serdar

IEEE transaction on neural networks and learning systems, 2018-08, Vol.29 (8), p.3772-3783

United States: IEEE

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8
NeuroSim: A Circuit-Level Macro Model for Benchmarking Neuro-Inspired Architectures in Online Learning
NeuroSim: A Circuit-Level Macro Model for Benchmarking Neuro-Inspired Architectures in Online Learning
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NeuroSim: A Circuit-Level Macro Model for Benchmarking Neuro-Inspired Architectures in Online Learning

Chen, Pai-Yu ; Peng, Xiaochen ; Yu, Shimeng

IEEE transactions on computer-aided design of integrated circuits and systems, 2018-12, Vol.37 (12), p.3067-3080 [Revista revisada por pares]

New York: IEEE

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9
High-Performance CNN Accelerator on FPGA Using Unified Winograd-GEMM Architecture
High-Performance CNN Accelerator on FPGA Using Unified Winograd-GEMM Architecture
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High-Performance CNN Accelerator on FPGA Using Unified Winograd-GEMM Architecture

Kala, S. ; Jose, Babita R. ; Mathew, Jimson ; Nalesh, S.

IEEE transactions on very large scale integration (VLSI) systems, 2019-12, Vol.27 (12), p.2816-2828 [Revista revisada por pares]

New York: IEEE

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10
TrueNorth: Accelerating From Zero to 64 Million Neurons in 10 Years
TrueNorth: Accelerating From Zero to 64 Million Neurons in 10 Years
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TrueNorth: Accelerating From Zero to 64 Million Neurons in 10 Years

DeBole, Michael V. ; Taba, Brian ; Amir, Arnon ; Akopyan, Filipp ; Andreopoulos, Alexander ; Risk, William P. ; Kusnitz, Jeff ; Ortega Otero, Carlos ; Nayak, Tapan K. ; Appuswamy, Rathinakumar ; Carlson, Peter J. ; Cassidy, Andrew S. ; Datta, Pallab ; Esser, Steven K. ; Garreau, Guillaume J. ; Holland, Kevin L. ; Lekuch, Scott ; Mastro, Michael ; McKinstry, Jeff ; di Nolfo, Carmelo ; Paulovicks, Brent ; Sawada, Jun ; Schleupen, Kai ; Shaw, Benjamin G. ; Klamo, Jennifer L. ; Flickner, Myron D. ; Arthur, John V. ; Modha, Dharmendra S.

Computer (Long Beach, Calif.), 2019-05, Vol.52 (5), p.20-29 [Revista revisada por pares]

New York: IEEE

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