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ORCIDNeurocomputing, Volume 169
Volume 169, December 2015
- Yang Yang, Luming Zhang, Yi Zhen, Rongrong Ji:
Learning for visual semantic understanding in big data. 1-4 - Yanfeng Gu, Yuting Wang, He Zheng, Yue Hu:
Hyperspectral target detection via exploiting spatial-spectral joint sparsity. 5-12 - Feng Yue, Guofu Zhang, Zhaopin Su, Yang Lu, Ting Zhang:
Multi-software reliability allocation in multimedia systems with budget constraints using Dempster-Shafer theory and improved differential evolution. 13-22 - Mingming Ji, Yinfu Feng, Jun Xiao, Yueting Zhuang, Xiaosong Yang
, Jian J. Zhang:
Efficient semi-supervised multiple feature fusion with out-of-sample extension for 3D model retrieval. 23-33 - Pengfei Li, Limin Dong, Huachao Xiao, Mingliang Xu:
A cloud image detection method based on SVM vector machine. 34-42 - Xiaofeng Zhu, Qing Xie, Yonghua Zhu, Xingyi Liu, Shichao Zhang:
Multi-view multi-sparsity kernel reconstruction for multi-class image classification. 43-49 - Shuo Shang, Jiajun Liu, Kun Zhao, Mingrui Yang, Kai Zheng, Ji-Rong Wen:
Dimension reduction with meta object-groups for efficient image retrieval. 50-54 - Jiangtao Cui, Miaomiao Cui, Bin Xiao, Guangxin Li:
Compact and discriminative representation of Bag-of-Features. 55-67 - Yinfu Feng, Jun Xiao, Kang Zhou, Yueting Zhuang:
A locally weighted sparse graph regularized Non-Negative Matrix Factorization method. 68-76 - Haojie Li, Fuming Sun, Lijuan Liu, Ling Wang:
A novel traffic sign detection method via color segmentation and robust shape matching. 77-88 - Amel Hebboul, Fella Hachouf, Amel Boulemnadjel:
A new incremental neural network for simultaneous clustering and classification. 89-99 - Qingnan Lai, Changling Zhou, Hao Ma, Zhen Wu, Shiyang Chen:
Visualizing and characterizing DNS lookup behaviors via log-mining. 100-109 - Xu Zhang, Shijie Hao, Chenyang Xu, Xueming Qian, Meng Wang, Jianguo Jiang:
Image classification based on low-rank matrix recovery and Naive Bayes collaborative representation. 110-118 - Bo Fu, Weiwei Li, You-Ping Fu, Chuan-Ming Song:
An image topic model for image denoising. 119-123 - Sheng Tang, Yongdong Zhang, Zuoxin Xu, Haojie Li, Yan-Tao Zheng, Jintao Li:
An efficient concept detection system via sparse ensemble learning. 124-133 - Zhenyu Shan, Qianqian Zhu:
Camera location for real-time traffic state estimation in urban road network using big GPS data. 134-143 - Ming Zeng, Liujuan Cao, Xuan Cheng, Kunhui Lin, Huailin Dong, Cheng Wang:
Shape completion for depth image via repeated objects registration. 144-149 - Guomin Zhou, Daxing Zhang, Yanjian Liu, Ying Yuan, Qiang Liu:
A novel image encryption algorithm based on chaos and Line map. 150-157 - Yingjie Xia, Jinlong Chen, Chunhui Wang:
Formalizing computational intensity of big traffic data understanding and analysis for parallel computing. 158-168 - Weigang Zhang, Tianlong Chen, Guorong Li, Junbiao Pang, Qingming Huang, Wen Gao:
Fusing cross-media for topic detection by dense keyword groups. 169-179 - Liujuan Cao, Fanglin Wang:
Robust latent semantic exploration for image retrieval in social media. 180-184
- Michael Biehl, Alessandro Ghio, Frank-Michael Schleif:
Developments in computational intelligence and machine learning. 185-186 - Jérôme Paul, Roberto D'Ambrosio, Pierre Dupont:
Kernel methods for heterogeneous feature selection. 187-195 - Nicolas Chrysanthos, Pierre Beauseroy, Hichem Snoussi, Edith Grall-Maës:
Theoretical properties and implementation of the one-sided mean kernel for time series. 196-204 - Hanchen Xiong, Sándor Szedmák, Justus H. Piater:
Scalable, accurate image annotation with joint SVMs and output kernels. 205-214 - Fabio Aiolli, Michele Donini:
EasyMKL: a scalable multiple kernel learning algorithm. 215-224 - Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita:
Learning Resource-Aware Classifiers for Mobile Devices: From Regularization to Energy Efficiency. 225-235 - Steven Lauwereins, Komail M. H. Badami, Wannes Meert, Marian Verhelst:
Optimal resource usage in ultra-low-power sensor interfaces through context- and resource-cost-aware machine learning. 236-245 - John Aldo Lee, Diego Hernán Peluffo-Ordóñez, Michel Verleysen:
Multi-scale similarities in stochastic neighbour embedding: Reducing dimensionality while preserving both local and global structure. 246-261 - Jérôme Fellus, David Picard, Philippe Henri Gosselin:
Asynchronous gossip principal components analysis. 262-271 - Jochen Kerdels, Gabriele Peters:
Analysis of high-dimensional data using local input space histograms. 272-280 - Arthur Flexer, Dominik Schnitzer:
Choosing ℓp norms in high-dimensional spaces based on hub analysis. 281-287 - Leonardo José Silvestre, André Paim Lemos, João Pedro Braga, Antônio de Pádua Braga:
Dataset structure as prior information for parameter-free regularization of extreme learning machines. 288-294 - David Nebel, Barbara Hammer, Kathleen Frohberg, Thomas Villmann:
Median variants of learning vector quantization for learning of dissimilarity data. 295-305 - Bassam Mokbel, Benjamin Paaßen, Frank-Michael Schleif, Barbara Hammer:
Metric learning for sequences in relational LVQ. 306-322 - Luca Pasa, Alberto Testolin, Alessandro Sperduti:
Neural Networks for Sequential Data: a Pre-training Approach based on Hidden Markov Models. 323-333 - Lydia Fischer, Barbara Hammer, Heiko Wersing:
Efficient rejection strategies for prototype-based classification. 334-342 - Sigurd Spieckermann, Siegmund Düll, Steffen Udluft, Alexander Hentschel, Thomas A. Runkler:
Exploiting similarity in system identification tasks with recurrent neural networks. 343-349 - Stefan Faußer, Friedhelm Schwenker:
Selective neural network ensembles in reinforcement learning: Taking the advantage of many agents. 350-357
- Dianhui Wang, Wen Yu, Tianyou Chai:
Guest Editorial: Special issue on computational intelligence for industrial data processing and analysis. 358-360 - Wei Dai, Qiang Liu, Tianyou Chai:
Particle size estimate of grinding processes using random vector functional link networks with improved robustness. 361-372 - Xiaojie Zhou, Dianhui Wang, Zhugui Shao:
2-D regularized locality preserving projection algorithms for temporospatial feature reduction and its application in industrial data regression. 373-382 - Hui Yang, Hong-En Liu, Yating Fu:
Multi-objective operation optimization for electric multiple unit-based on speed restriction mutation. 383-391 - Zhuo Liu, Tianyou Chai, Wen Yu, Jian Tang:
Multi-frequency signal modeling using empirical mode decomposition and PCA with application to mill load estimation. 392-402 - Shouping Guan:
Modeling and optimization of the glutamic acid fermentation process using computational intelligence techniques. 403-411 - Yongfu Wang, Gaochang Wu, Gang (Sheng) Chen:
Automatic determination of cutoff frequency for filter design using neuro-fuzzy systems. 412-421 - Aijun Yan, Hongshan Shao, Pu Wang:
A soft-sensing method of dissolved oxygen concentration by group genetic case-based reasoning with integrating group decision making. 422-429 - Yong Gao, Xin Wang, Zhenlei Wang:
Fault detection for a class of industrial processes based on recursive multiple models. 430-438 - Xiaoxuan Qi, Zhonghu Yuan, Xiaowei Han:
Diagnosis of misalignment faults by tacholess order tracking analysis and RBF networks. 439-448 - Xiaobing Kong, Xiangjie Liu, Ruifeng Shi, Kwang Y. Lee:
Wind speed prediction using reduced support vector machines with feature selection. 449-456 - Jinxiang Pian, Yunlong Zhu:
A hybrid soft sensor for measuring hot-rolled strip temperature in the laminar cooling process. 457-465
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