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Fekhr Eddine Keddous and Amir Nakib
Convolutional neural networks (CNNs) have powerful representation learning capabilities by automatically learning and extracting features directly from inputs. In classification applications, CNN models are typically composed of: convolutional layers, po...
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Quentin Leboutet, Julien Roux, Alexandre Janot, Julio Rogelio Guadarrama-Olvera and Gordon Cheng
This work aims at reviewing, analyzing and comparing a range of state-of-the-art approaches to inertial parameter identification in the context of robotics. We introduce ?BIRDy (Benchmark for Identification of Robot Dynamics)?, an open-source Matlab tool...
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Ahn, C. W. Ramakrishna, R. S.
Pág. 106 - 117
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Tatem, A. J. Lewis, H. G. Atkinson, P. M. Nixon, M. S.
Pág. 781 - 796
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Bharitkar, S; Mendel, J M
Pág. 879 - 888
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Làzaro, O; Girma, D
Pág. 1578 - 1587
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Yalcinoz, T; Short, M J; Cory, B J
Pág. 465 - 470
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Young, S S; Scott, P D; Nasrabadi, N M
Pág. 357 - 372
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Yalcinoz, T; Short, M J
Pág. 181 - 185
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