[1] 洪磊,王玉国. 转向架基础制动装置的故障诊断专家系统研究[J]. 计算机技术与发展,2017,27(8):200-204. HONG Lei,WANG Yuguo. Investigation on fault diagnosis expert system of bogie foundation brake rigging[J]. Computer Technology and Development,2017,27(8):200-204.
[2] 王法胜,鲁明羽,赵清杰,等. 粒子滤波算法[J]. 计算机学报,2014,37(8):1679-1694. WANG Fasheng,LU Mingyu,ZHAO Qingjie,et al. Particle filtering algorithm[J]. Computer Technology and Development,2014,37(8):1679-1694.
[3] 张明,江志农. 基于多源信息融合的往复式压缩机故障诊断方法[J]. 机械工程学报,2017,53(23):46-52. ZHANG Ming,JIANG Zhinong. Reciprocating compressor fault diagnosis technology based on multi-source information fusion[J]. Journal of Mechanical Engineering,2017,53(23):46-52.
[4] 孙文珺,邵思羽,严如强. 基于稀疏自动编码深度神经网络的感应电动机故障诊断[J]. 机械工程学报,2016,52(9):65-71. SUN Wenjun,SHAO Siyu,YAN Ruqiang. Induction motor fault diagnosis based on deep neural network of sparse auto-encoder[J]. Journal of Mechanical Engineering,2016,52(9):65-71.
[5] SHEN Z,HUANG X,MA X. Fault diagnosis of diesel engine based on empirical mode decomposition and support vector machine[J]. Journal of Vibration Measurement & Diagnosis,2010,30(1):19-22.
[6] CAVALLANTI G,CESA-BIANCHI N,GENTILE C. Tracking the best hyperplane with a simple budget Perceptron[J]. Machine Learning,2007,69(2-3):143-167.
[7] LUGHOFER E. On-line active learning:A new paradigm to improve practical useability of data stream modeling methods[J]. Information Sciences,2017,415(11):356-376.
[8] ESPOSITO G,MARTIN M. Bellman residuals minimization using online support vector machines[J]. Applied Intelligence,2017,47(3):670-704.
[9] LAU K W,WU Q H. Online training of support vector classifier[J]. Pattern Recognition,2003,36(8):1913-1920.
[10] ORABONA F,CASTELLINI C,CAPUTO B,et al. On-line independent support vector machines[J]. Pattern Recognition,2010,43(4):1402-1412.
[11] ZHAO P,HOI S C H,JIN R. Double updating online learning[J]. Journal of Machine Learning Research,2011,12(8):1587-1615.
[12] ORABONA,FRANCESCO,KESHET,et al. Bounded kernel-based online learning[J]. Journal of Machine Learning Research,2009,10(6):2643-2666.
[13] BOLLEGALA D. Dynamic feature scaling for online learning of binary classifiers[J]. Knowledge-Based Systems,2017,2012(1):53-58.
[14] RASILOR H. An online model for vowel imitation learning[M]. Amsterdam:Elsevier Science Publishers B. V.,2017.
[15] WEEL B,D'ANGELO M,HAASDIJK E,et al. Online gait learning for modular robots with arbitrary shapes and sizes[J]. Artificial Life,2017,23(1):80-104.
[16] TAO D,LI X,HU W,et al. Supervised tensor learning[J]. Knowledge & Information Systems,2007,13(1):1-42.
[17] HAO Z,HE L,CHEN B,et al. A linear support higher-order tensor machine for classification[J]. IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society,2013,22(7):2911-2920.
[18] LIU X,GUO T,HE L,et al. A low-rank approximation-based transductive support tensor machine for semisupervised classification[J]. IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society,2015,24(6):1825-1838.
[19] GASTALDO P,PINNA L,SEMINARA L,et al. A tensor-based pattern-recognition framework for the interpretation of touch modality in artificial skin systems[J]. IEEE Sensors Journal,2014,14(7):2216-2225.
[20] TAKALLOU H M,KASAEI S. Head pose estimation and face recognition using a non-linear tensor-based model[J]. Iet Computer Vision,2014,8(1):54-65.
[21] CHEN Y,WANG K,ZHONG P. One-class support tensor machine[J]. Knowledge-Based Systems,2016,96:14-28.
[22] SIDIROPOULOS N D,LATHAUWER L D,FU X,et al. Tensor decomposition for signal processing and machine learning[J]. IEEE Transactions on Signal Processing,2017,65(13):3551-3582.
[23] SAHA P K. Tensor scale:A local morphometric parameter with applications to computer vision and image processing[J]. Computer Vision & Image Understanding,2005,99(3):384-413.
[24] XIAO Y. Global strong solution to the three-dimensional liquid crystal flows of Q-tensor model[J]. Journal of Differential Equations,2016,262(3):1-18.
[25] 周蓉,杨晓伟,吴广潮. 在线支持张量机[J]. 计算机科学与探索,2013,7(7):611-619. ZHOU Rong,YANG Xiaowei,WU Guangchao. Online support tensor machine[J]. Journal of Frontiers of Computer Science & Technology,2013,7(7):611-619.
[26] GNANG E K,ELGAMMAL A,RETAKH V. A spectral theory for tensors[J]. Annfacscitoulouse Math,2010,4(4):801-841.
[27] DO T N. Parallel multiclass stochastic gradient descent algorithms for classifying million images with very-high-dimensional signatures into thousands classes[J]. Vietnam Journal of Computer Science,2014,1(2):107-115. |