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ORCIDNeurocomputing, Volume 248
Volume 248, July 2017
- Sabri Arik
, Qingshan Liu, Weng Kin Lai:
SI: ICONIP 2015: Learning algorithms and classification systems. 1-2 - Yuto Takizawa, Fang Shang, Akira Hirose:
Adaptive land classification and new class generation by unsupervised double-stage learning in Poincare sphere space for polarimetric synthetic aperture radars. 3-10 - Diego P. P. Mesquita, João P. P. Gomes, Amauri Holanda Souza Júnior, Juvêncio Santos Nobre:
Euclidean distance estimation in incomplete datasets. 11-18 - Ryuji Sato, Toshimichi Saito:
Stabilization of desired periodic orbits in dynamic binary neural networks. 19-27 - Afaf Tareef, Yang Song, Heng Huang, Yue Wang, Dagan Feng, Mei Chen, Weidong Cai:
Optimizing the cervix cytological examination based on deep learning and dynamic shape modeling. 28-40 - Victor Parque, Tomoyuki Miyashita:
A method to learn high-performing and novel product layouts and its application to vehicle design. 41-56 - Carlos Vivaracho-Pascual, María Arancha Simón-Hurtado, Esperanza Manso Martínez:
Using the score ratio with distance-based classifiers: A theoretical and practical study in biometric signature recognition. 57-66 - Lee Suk Kim, Han Bin Bae, Rhee Man Kil, Churl Hee Jo:
Classification of the trained and untrained emitter types based on class probability output networks. 67-75 - Yasutaka Furusho, Takatomi Kubo, Kazushi Ikeda:
Roles of pre-training in deep neural networks from information theoretical perspective. 76-79 - Kitsuchart Pasupa, Sándor Szedmák:
Utilising Kronecker Decomposition and Tensor-based Multi-view Learning to predict where people are looking in images. 80-93 - Mohamed Ibn Khedher, Mounim A. El-Yacoubi, Bernadette Dorizzi:
Fusion of appearance and motion-based sparse representations for multi-shot person re-identification. 94-104 - Yasemin Poyraz Kocak, Selcuk Sevgen:
Detecting and counting people using real-time directional algorithms implemented by compute unified device architecture. 105-111 - Mutsumi Kimura, Ryohei Morita, Sumio Sugisaki, Tokiyoshi Matsuda, Tomoya Kameda, Yasuhiko Nakashima:
Cellular neural network formed by simplified processing elements composed of thin-film transistors. 112-119 - Mubasher Baig, Mian M. Awais, El-Sayed M. El-Alfy:
AdaBoost-based artificial neural network learning. 120-126
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