Computer Science ›› 2018, Vol. 45 ›› Issue (9): 299-302.doi: 10.11896/j.issn.1002-137X.2018.09.050
Special Issue: Face Recognition
• Graphics, Image & Pattern Recognition • Previous Articles Next Articles
SUN Jin, CHEN Ruo-yu, LUO Heng-li
CLC Number:
[1]HOI S C H,LYU M R.A Semi-Supervised Active Learning Framework for Image Retrieval[C]∥IEEE Computer Society Conference on Computer Vision and Pattern Recognition.IEEE,2005:302-309. [2]WANG L,CHAN K L,ZHANG Z.Bootstrapping SVM active learning by incorporating unlabeled images for image retrieval[C]∥IEEE Computer Society Conference on Computer Vision and Pattern Recognition.IEEE Computer Society,2003:629-634. [3]GAL Y,ISLAM R,GHAHRAMANI Z.Deep Bayesian Active Learning with Image Data[J].arXiv preprint arXiv:1703.02910,2017. [4]LIU S Y,LIU J F,HUANG Q C,et al.Research on Annotation Technology of Face based on improved AP Clustering Algorithm[J].Intelligent Computer and Application,2011,1(3):35-38.(in Chinese) 刘胜宇,刘家锋,黄庆成,等.基于改进AP聚类算法的人脸标注技术研究[J].智能计算机与应用,2011,1(3):35-38. [5]ZHENG S P,LIU H Y,SUN F M,et al.Face Detection and Annotation Based on a Family Digital Photo Album[J].Journal of Liaoning University of Technology(Natural Science Edition),2016,36(3):160-162.(in Chinese) 郑士鹏,刘海云,孙福明,等.基于家庭数字相册的人脸检测与标注[J].辽宁工业大学学报(自然科学版),2016,36(3):160-162. [6]TONG S,CHANG E.Support vector machine active learning for image retrieval[C]∥ACM International Conference on Multimedia.ACM,2001:107-118. [7]RODRIGUES F,PEREIRA F C,RIBEIRO B.Gaussian process classification and active learning with multiple annotators[C]∥International Conference on International Conference on Machine Learning.JMLR.org,2014:II-433. [8]KAPOOR A,GRAUMAN K,URTASUN R,et al.Active Learning with Gaussian Processes for Object Categorization[C]∥IEEE International Conference on Computer Vision.IEEE,2015:1-8. [9]KAPOOR A,HUA G,AKBARZADEH A,et al.Which faces to tag:Adding prior constraints into active learning[C]∥IEEE,International Conference on Computer Vision.IEEE,2009:1058-1065. [10]SUN S,ZHONG P,XIAO H,et al.An MRF Model-Based Active Learning Framework for the Spectral-Spatial Classification of Hyperspectral Imagery[J].IEEE Journal of Selected Topics in Signal Processing,2015,9(6):1074-1088. [11]HU B,MOSER G,SERPICO S B,et al.An active learning heu-ristic using spectral and spatial information for MRF-based classification[C]∥Geoscience and Remote Sensing Symposium.IEEE,2015. [12]GU Y,JIN Z,CHIU S C.Combining Active Learning and Semi-supervised Learning Using Local and Global Consistency[C]∥International Conference on Neural Information Processing.Springer International Publishing,2014:215-222. [13]ZHAO L,SUKTHANKAR G,SUKTHANKAR R.Incremental Relabeling for Active Learning with Noisy Crowdsourced Annotations[C]∥IEEE Third International Conference on Privacy,Security,Risk and Trust.IEEE,2011:728-733. [14]HUANG S J,JIN R,ZHOU Z H.Active learning by querying informative and representative examples[C]∥International Conference on Neural Information Processing Systems.Curran Associates Inc.2010:892-900. [15]LIU K,QIAN X,WANG Z Q.The summarization of active learning algorithm[J].Computer Engineering and Application,2012,48(34):1-4.(in Chinese) 刘康,钱旭,王自强.主动学习算法综述[J].计算机工程与应用,2012,48(34):1-4. |
[1] | ZHOU Hui, SHI Hao-chen, TU Yao-feng, HUANG Sheng-jun. Robust Deep Neural Network Learning Based on Active Sampling [J]. Computer Science, 2022, 49(7): 164-169. |
[2] | HOU Xia-ye, CHEN Hai-yan, ZHANG Bing, YUAN Li-gang, JIA Yi-zhen. Active Metric Learning Based on Support Vector Machines [J]. Computer Science, 2022, 49(6A): 113-118. |
[3] | ZHANG Ren-zhi, ZHU Yan. Malicious User Detection Method for Social Network Based on Active Learning [J]. Computer Science, 2021, 48(6): 332-337. |
[4] | WANG Ti-shuang, LI Pei-feng, ZHU Qiao-ming. Chinese Implicit Discourse Relation Recognition Based on Data Augmentation [J]. Computer Science, 2021, 48(10): 85-90. |
[5] | DONG Xin-yue, FAN Rui-dong, HOU Chen-ping. Active Label Distribution Learning Based on Marginal Probability Distribution Matching [J]. Computer Science, 2020, 47(9): 190-197. |
[6] | LI Yi-hong, LIU Fang-zheng, DU Zhen-yu. Malware Detection Algorithm for Improving Active Learning [J]. Computer Science, 2019, 46(5): 92-99. |
[7] | ZHAO Hai-yan, WANG Jing, CHEN Qing-kui, CAO Jian. Application of Active Learning in Recommendation System [J]. Computer Science, 2019, 46(11A): 153-158. |
[8] | LV Ju-jian, ZHAO Hui-min, CHEN Rong-jun, LI Jian-hong. Unsupervised Active Learning Based on Adaptive Sparse Neighbors Reconstruction [J]. Computer Science, 2018, 45(6): 251-258. |
[9] | LI Chang-li, ZHANG Lin, FAN Tang-huai. Hyperspectral Image Classification Based on Adaptive Active Learning and Joint Bilateral Filtering [J]. Computer Science, 2018, 45(12): 223-228. |
[10] | LI Feng and WAN Xiao-qiang. SMS Automatic Classification Based on Relational Matrix [J]. Computer Science, 2017, 44(Z6): 428-432. |
[11] | WANG Chang-bao, LI Qing-wen and YU Hua-long. Active,Online and Weighted Extreme Learning Machine Algorithm for Class Imbalance Data [J]. Computer Science, 2017, 44(12): 221-226. |
[12] | ZHAI Jun-hai, ZANG Li-guang and ZHANG Su-fang. Online Sequential Active Learning Approach [J]. Computer Science, 2017, 44(1): 37-41. |
[13] | LIANG Xi-tao and GU Lei. Active Learning in Chinese Word Segmentation Based on Nearest Neighbor [J]. Computer Science, 2015, 42(6): 228-232. |
[14] | SU Ying-bin, DU Xue-hui, XIA Chun-tao, CAO Li-feng and CHEN Hua-cheng. Sensitive Information Inference Method Based on Semi-supervised Document Clustering [J]. Computer Science, 2015, 42(10): 132-137. |
[15] | SHI Wen-li,GUO Mao-zu,LI Jin and LIU Xiao-yan. Protein-protein Interaction Prediction Combining Active Learning with SVM [J]. Computer Science, 2014, 41(2): 82-86. |
|