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Publication search results
found 45 matches
- 2014
- Jun Zhang, Qunyu Xu, Xianbin Cao, Pingkun Yan, Xuelong Li:
Hierarchical incorporation of shape and shape dynamics for flying bird detection. Neurocomputing 131: 179-190 (2014) - A. Arunkumar, Rathinasamy Sakthivel, K. Mathiyalagan, Selvaraj Marshal Anthoni:
Robust state estimation for discrete-time BAM neural networks with time-varying delay. Neurocomputing 131: 171-178 (2014) - Andreas Backhaus, Udo Seiffert:
Classification in high-dimensional spectral data: Accuracy vs. interpretability vs. model size. Neurocomputing 131: 15-22 (2014) - Lili Chen, Ying Zhou, Xian Zhang:
Guaranteed cost control for uncertain genetic regulatory networks with interval time-varying delays. Neurocomputing 131: 105-112 (2014) - Zunshui Cheng, Jinde Cao:
Hybrid control of Hopf bifurcation in complex networks with delays. Neurocomputing 131: 164-170 (2014) - Feiyang Cheng, Hong Zhang, Ding Yuan, Mingui Sun:
Stereo matching by using the global edge constraint. Neurocomputing 131: 217-226 (2014) - Subhabrata Choudhury, Subhajyoti Ghosh, Arnab Bhattacharya, Kiran Jude Fernandes, Manoj Kumar Tiwari:
A real time clustering and SVM based price-volatility prediction for optimal trading strategy. Neurocomputing 131: 419-426 (2014) - Xin Deng, Jian-Xin Xu:
A 3D undulatory locomotion model inspired by C. elegans through DNN approach. Neurocomputing 131: 248-264 (2014) - Charanpal Dhanjal, Romaric Gaudel, Stéphan Clémençon:
Efficient eigen-updating for spectral graph clustering. Neurocomputing 131: 440-452 (2014) - Xinpeng Du, Lizhi Cheng, Dai-Qiang Chen:
A simulated annealing algorithm for sparse recovery by l0 minimization. Neurocomputing 131: 98-104 (2014) - Emil Eirola, Amaury Lendasse, Vincent Vandewalle, Christophe Biernacki:
Mixture of Gaussians for distance estimation with missing data. Neurocomputing 131: 32-42 (2014) - Qin-wei Fan, Jacek M. Zurada, Wei Wu:
Convergence of online gradient method for feedforward neural networks with smoothing L1/2 regularization penalty. Neurocomputing 131: 208-216 (2014) - Barbara Hammer, Daniela Hofmann, Frank-Michael Schleif, Xibin Zhu:
Learning vector quantization for (dis-)similarities. Neurocomputing 131: 43-51 (2014) - Barbara Hammer, Thomas Villmann:
Special issue on new challenges in neural computation 2012. Neurocomputing 131: 1 (2014) - Mehmet Koç, Atalay Barkana:
Application of Linear Regression Classification to low-dimensional datasets. Neurocomputing 131: 331-335 (2014) - Seung-kyung Lee, Pilsung Kang, Sungzoon Cho:
Probabilistic local reconstruction for k-NN regression and its application to virtual metrology in semiconductor manufacturing. Neurocomputing 131: 427-439 (2014) - Lu Leng, Andrew Beng Jin Teoh, Ming Li, Muhammad Khurram Khan:
Analysis of correlation of 2DPalmHash Code and orientation range suitable for transposition. Neurocomputing 131: 377-387 (2014) - Dong-Juan Li:
Neural network control for a class of continuous stirred tank reactor process with dead-zone input. Neurocomputing 131: 453-459 (2014) - Ning Li, Jinde Cao:
Periodically intermittent control on robust exponential synchronization for switched interval coupled networks. Neurocomputing 131: 52-58 (2014) - Qingfa Li, Yaqiu Liu, Liangkuan Zhu:
Neural network for nonsmooth pseudoconvex optimization with general constraints. Neurocomputing 131: 336-347 (2014) - Wenxue Li, Xiaohui Qi, Meng Pan, Ke Wang:
Razumikhin-type theorems on exponential stability of stochastic functional differential equations on networks. Neurocomputing 131: 278-285 (2014) - Jun Li, Jian Yang, Xiaotong Yuan, Zhaohua Hu:
Continuous attractors of higher-order recurrent neural networks with infinite neurons. Neurocomputing 131: 388-396 (2014) - Ahmad Mozaffari, Nasser L. Azad:
Optimally pruned extreme learning machine with ensemble of regularization techniques and negative correlation penalty applied to automotive engine coldstart hydrocarbon emission identification. Neurocomputing 131: 143-156 (2014) - R. Rakkiyappan, A. Chandrasekar, Shanmugam Lakshmanan, Ju H. Park:
Exponential stability of Markovian jumping stochastic Cohen-Grossberg neural networks with mode-dependent probabilistic time-varying delays and impulses. Neurocomputing 131: 265-277 (2014) - Nasser Mohamed Ramli, Mohamed Azlan Hussain, Badrul Mohamed Jan, Bawadi Abdullah:
Composition Prediction of a Debutanizer Column using Equation Based Artificial Neural Network Model. Neurocomputing 131: 59-76 (2014) - Gerasimos G. Rigatos:
Estimation of wave-type dynamics in neurons' membrane with the use of the Derivative-free nonlinear Kalman Filter. Neurocomputing 131: 286-299 (2014) - Matthias Rolf, Jochen J. Steil:
Explorative learning of inverse models: A theoretical perspective. Neurocomputing 131: 2-14 (2014) - Pablo E. Román, Juan D. Velásquez:
A neurology-inspired model of web usage. Neurocomputing 131: 300-311 (2014) - Humberto Sossa, Elizabeth Guevara:
Efficient training for dendrite morphological neural networks. Neurocomputing 131: 132-142 (2014) - Gai Sun, Yu Zhang:
Exponential stability of impulsive discrete-time stochastic BAM neural networks with time-varying delay. Neurocomputing 131: 323-330 (2014)
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