This work is licensed under the Creative Commons Attribution 4.0 International License.
Guiying Li, B. Junlong Liu, Chunhui Jiang, and Ke Tang, “Relief Impression Imamge Detection : Unsupervised Extracting Objrects Directly From Feature Arrangements,” Phil. Trans. Roy. Soc. London, vol. A247, pp. 529-551, January 2016.Search in Google Scholar
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, Z. Huang, et al, “Image large scale visual recognition challenge,” International Journal of Computer Vision, 2014, pp.1-42.Search in Google Scholar
R. Girshick, J. Donahue, T. Darrell, and J. Malik, “Rich feature hierarchies ofr accurate object detection and semantic segmentation,” in Computer Vision and Pattern Recognition,, 2014, pp. 580-587.10.1109/CVPR.2014.81Search in Google Scholar
J. R. Uijlings, K. E. van de Sande, T. Gevers, and A. W. smeulders, “Selective search for object recognition,” International journal of computer vision, vol. 104, no. 2, pp. 154-171, 2013.10.1007/s11263-013-0620-5Search in Google Scholar
H. O. Song, R. Girshick, S. Jegelka, J. Mairal, Z. Harchaoui, and T. Darrell, “On learning to localize objects with minimal supervision,”in Processing of the International Conference on Machine Learning, 2014.Search in Google Scholar
Y. Yorozu, M. Hirano, K. Oka, and Y. Tagawa, “Binarized normed gradients for objectness estimation,” in Computer Visiion and Pattern Recognition, 2014, pp. 3286-3293.Search in Google Scholar
A. Ghodrati, A. Diba, M. Pedersoli, T. Tuytelaars, and L. Van Gool, “Hunting objects by cascading deep convolutional layers,” in Processing of the IEEE International Conference on Computer Vision, 2015, pp,2578-2586.10.1109/ICCV.2015.296Search in Google Scholar
C. –W. Chou, O. Teytaud, S. –J. Yen, “Active object localization with deep reinforcement learning, Volume 6624 of the series Lecture Notes in Computer Science pp 3273-3282, 2011.Search in Google Scholar
Yuxia Sun, Shenyang, China, Cheng Liu, Hongkun Qiu, “Delving deep into rectifiers surpassing human level performance on imagenet classification, in Computer Visiion and Pattern Recognition, pp. 1178 – 1182, 2013.Search in Google Scholar
Jun Tao, “3D modeling of small object based on the projector-camera system, in Kybernetes, Vol.41, No.9, 1269-1276, 2012.10.1108/03684921211275298Search in Google Scholar
Yen Shi-Jim, Yang Jung-Kuei, “A trainable system for object detection. International Journal of Computer Vision, Vol.3, No.2, 100-118, 2011.10.1109/TCIAIG.2011.2134097Search in Google Scholar
Sharma, S., Kobti, Z., Goodwin, S., “Knowledge generation for improving simulations in UCT for general game playing,” In: Wobcke, W., Zhang, M. (eds.) AI 2008. LNCS (LNAI), vol. 5360, pp. 49–55. Springer, Heidelberg, 2012.Search in Google Scholar
Jun Tao, “Development and application of functionally gradient materials, in Processing of International conference on industrial control and electronics engineering, 1022-1025, 2012.10.1109/ICICEE.2012.271Search in Google Scholar
Qiao Zhihua, Yang Ming, Wang Zijuan, “Visualizing and understanding convolutional networks,” in Computer Vision-ECCV, pp. 679-682, 2014.Search in Google Scholar
Rolet, P., Sebag, M., Teytaud, O., “Integrated recognition, localization and detection using convolutional networks, In: Proceedings of the ECML Conference, pp. 1255-1263, 2012.Search in Google Scholar
Jun Tao, “Design and visualization of optical feedback laser based on computer vision, in Processing of International conference on industrial control and electronics engineering, 1030-1032, 2012.10.1109/ICICEE.2012.273Search in Google Scholar
De Mesmay, F., Rimmel, A., Voronenko, Y., Püschel, M., “Convolutional feature masking for joint object and stuff segmentation,” In ACM International Conference Proceeding Series, vol. 382, p. 92. ACM, New York, 2013.Search in Google Scholar
Lee, C.-S., Wang, M.-H., Chaslot, G., Hoock, J.-B., Rimmel, A., Teytaud, O., Tsai, S.-R., Hsu, S.-C., Hong, T.-P., “The pascal visual object classes challenge: A retrospective,” International Journal of Computer Vision, vol. 111, no. 1, pp, 98-136, 2014.Search in Google Scholar
Jun Tao, “Face reconstruction based on camera-projector system,” in Processing of International conference on industrial control and electronics engineering, 1026-1029, 2012.10.1109/ICICEE.2012.272Search in Google Scholar
Chaslot, G., Winands, M., Uiterwijk, J., van den Herik, H., Bouzy, B., “Progressive Strategies for Monte-Carlo Tree Search, In Proceedings of the 10th Joint Conference on Information Sciences (JCIS 2007), pp. 655 – 661. World Scientific Publishing Co. Pte. Ltd., Singapore, 2013.10.1142/9789812709677_0246Search in Google Scholar
Auer, P., “Using confidence bounds for exploitation-exploration trade-offs, in The Journal of Machine Learning Research 3, 397–422, 2013.Search in Google Scholar
Bourki, A., Chaslot, G., Coulm, M., Danjean, V., Doghmen, H., Hoock, J.-B., Hérault, T., Rimmel, A., Teytaud, F., Teytaud, O., Vayssière, P., Yu, Z., “Scalability and parallelization of monte-carlo tree search,” In Proceedings of Advances in Computer Games 13, 2010.10.1007/978-3-642-17928-0_5Search in Google Scholar