Artykuły w czasopismach na temat „Sparse features”
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Caragea, Cornelia, Adrian Silvescu i Prasenjit Mitra. "Combining Hashing and Abstraction in Sparse High Dimensional Feature Spaces". Proceedings of the AAAI Conference on Artificial Intelligence 26, nr 1 (20.09.2021): 3–9. http://dx.doi.org/10.1609/aaai.v26i1.8117.
Pełny tekst źródłaSimion, Georgiana. "Sparse Features for Finger Detection". Advanced Engineering Forum 8-9 (czerwiec 2013): 535–42. http://dx.doi.org/10.4028/www.scientific.net/aef.8-9.535.
Pełny tekst źródłaKronvall, Ted, Maria Juhlin, Johan Swärd, Stefan I. Adalbjörnsson i Andreas Jakobsson. "Sparse modeling of chroma features". Signal Processing 130 (styczeń 2017): 105–17. http://dx.doi.org/10.1016/j.sigpro.2016.06.020.
Pełny tekst źródłaHe, Wangpeng, Peipei Zhang, Xuan Liu, Binqiang Chen i Baolong Guo. "Group-Sparse Feature Extraction via Ensemble Generalized Minimax-Concave Penalty for Wind-Turbine-Fault Diagnosis". Sustainability 14, nr 24 (14.12.2022): 16793. http://dx.doi.org/10.3390/su142416793.
Pełny tekst źródłaBanihashem, Kiarash, Mohammad Hajiaghayi i Max Springer. "Optimal Sparse Recovery with Decision Stumps". Proceedings of the AAAI Conference on Artificial Intelligence 37, nr 6 (26.06.2023): 6745–52. http://dx.doi.org/10.1609/aaai.v37i6.25827.
Pełny tekst źródłaXing, Zhan, Jianhui Lin, Yan Huang i Cai Yi. "A Feature Extraction Method of Wheelset-Bearing Fault Based on Wavelet Sparse Representation with Adaptive Local Iterative Filtering". Shock and Vibration 2020 (25.07.2020): 1–20. http://dx.doi.org/10.1155/2020/2019821.
Pełny tekst źródłaWei, Wang, Tang Can, Wang Xin, Luo Yanhong, Hu Yongle i Li Ji. "Image Object Recognition via Deep Feature-Based Adaptive Joint Sparse Representation". Computational Intelligence and Neuroscience 2019 (21.11.2019): 1–9. http://dx.doi.org/10.1155/2019/8258275.
Pełny tekst źródłaYANG, B. J. "DOMINANT EIGENVECTOR AND EIGENVALUE ALGORITHM IN SPARSE NETWORK SPECTRAL CLUSTERING". Latin American Applied Research - An international journal 48, nr 4 (31.10.2018): 323–28. http://dx.doi.org/10.52292/j.laar.2018.248.
Pełny tekst źródłaSUN, JUN, WENYUAN WANG, QING ZHUO i CHENGYUAN MA. "DISCRIMINATORY SPARSE CODING AND ITS APPLICATION TO FACE RECOGNITION". International Journal of Image and Graphics 03, nr 03 (lipiec 2003): 503–21. http://dx.doi.org/10.1142/s0219467803001135.
Pełny tekst źródłaGrimes, David B., i Rajesh P. N. Rao. "Bilinear Sparse Coding for Invariant Vision". Neural Computation 17, nr 1 (1.01.2005): 47–73. http://dx.doi.org/10.1162/0899766052530893.
Pełny tekst źródłaAnwar, Shahzad, Qingjie Zhao, Muhammad Farhan Manzoor i Saqib Ishaq Khan. "Saliency Detection Using Sparse and Nonlinear Feature Representation". Scientific World Journal 2014 (2014): 1–16. http://dx.doi.org/10.1155/2014/137349.
Pełny tekst źródłaFeng, Shang, Haifeng Li, Lin Ma i Zhongliang Xu. "An EEG Feature Extraction Method Based on Sparse Dictionary Self-Organizing Map for Event-Related Potential Recognition". Algorithms 13, nr 10 (13.10.2020): 259. http://dx.doi.org/10.3390/a13100259.
Pełny tekst źródłaSun, Zhenzhen, i Yuanlong Yu. "Fast Approximation for Sparse Coding with Applications to Object Recognition". Sensors 21, nr 4 (19.02.2021): 1442. http://dx.doi.org/10.3390/s21041442.
Pełny tekst źródłaLi, Jiaye, Guoqiu Wen, Jiangzhang Gan, Leyuan Zhang i Shanwen Zhang. "Sparse Nonlinear Feature Selection Algorithm via Local Structure Learning". Emerging Science Journal 3, nr 2 (9.04.2019): 115. http://dx.doi.org/10.28991/esj-2019-01175.
Pełny tekst źródłaWang, Xin, Can Tang, Ji Li, Peng Zhang i Wei Wang. "Image Target Recognition via Mixed Feature-Based Joint Sparse Representation". Computational Intelligence and Neuroscience 2020 (10.08.2020): 1–8. http://dx.doi.org/10.1155/2020/8887453.
Pełny tekst źródłaShen, Ning-Min, Jing Li, Pei-Yun Zhou, Ying Huo i Yi Zhuang. "BSFCoS: Block and Sparse Principal Component Analysis-Based Fast Co-Saliency Detection Method". International Journal of Pattern Recognition and Artificial Intelligence 30, nr 01 (30.12.2015): 1655003. http://dx.doi.org/10.1142/s021800141655003x.
Pełny tekst źródłaLi, Ning, Weiping Tu i Haojun Ai. "A Sparse Feature Matching Model Using a Transformer towards Large-View Indoor Visual Localization". Wireless Communications and Mobile Computing 2022 (4.07.2022): 1–12. http://dx.doi.org/10.1155/2022/1243041.
Pełny tekst źródłaZang, Mujun, Dunwei Wen, Tong Liu, Hailin Zou i Chanjuan Liu. "A Fast Sparse Coding Method for Image Classification". Applied Sciences 9, nr 3 (1.02.2019): 505. http://dx.doi.org/10.3390/app9030505.
Pełny tekst źródłaZhao, Yue, i Jianbo Su. "New Sparse Facial Feature Description Model Based on Salience Evaluation of Regions and Features". International Journal of Pattern Recognition and Artificial Intelligence 29, nr 05 (9.07.2015): 1556007. http://dx.doi.org/10.1142/s0218001415560078.
Pełny tekst źródłaZhou, Junxiu, Yangyang Tao i Xian Liu. "Tensor Decomposition for Salient Object Detection in Images". Big Data and Cognitive Computing 3, nr 2 (19.06.2019): 33. http://dx.doi.org/10.3390/bdcc3020033.
Pełny tekst źródłaHarris, Chelsea, Uchenna Okorie i Sokratis Makrogiannis. "Spatially localized sparse approximations of deep features for breast mass characterization". Mathematical Biosciences and Engineering 20, nr 9 (2023): 15859–82. http://dx.doi.org/10.3934/mbe.2023706.
Pełny tekst źródłaLiang, Lin, Xingyun Ding, Fei Liu, Yuanming Chen i Haobin Wen. "Feature Extraction Using Sparse Kernel Non-Negative Matrix Factorization for Rolling Element Bearing Diagnosis". Sensors 21, nr 11 (25.05.2021): 3680. http://dx.doi.org/10.3390/s21113680.
Pełny tekst źródłaWang, Longhao, Chaozhen Lan, Beibei Wu, Tian Gao, Zijun Wei i Fushan Yao. "A Method for Detecting Feature-Sparse Regions and Matching Enhancement". Remote Sensing 14, nr 24 (8.12.2022): 6214. http://dx.doi.org/10.3390/rs14246214.
Pełny tekst źródłaNan Dong, Fuqiang Liu i Zhipeng Li. "Crowd Density Estimation Using Sparse Texture Features". Journal of Convergence Information Technology 5, nr 6 (31.08.2010): 125–37. http://dx.doi.org/10.4156/jcit.vol5.issue6.13.
Pełny tekst źródłaLi, B., Q. Meng i H. Holstein. "Articulated Pose Identification With Sparse Point Features". IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 34, nr 3 (czerwiec 2004): 1412–22. http://dx.doi.org/10.1109/tsmcb.2004.825914.
Pełny tekst źródłaHan, H., i X. J. Li. "Human action recognition with sparse geometric features". Imaging Science Journal 63, nr 1 (14.10.2014): 45–53. http://dx.doi.org/10.1179/1743131x14y.0000000091.
Pełny tekst źródłaZhou, Hongdi, Lin Zhu i Xixing Li. "Fault Diagnosis Method for Rolling Bearing Based on Sparse Principal Subspace Discriminant Analysis". Shock and Vibration 2022 (13.04.2022): 1–12. http://dx.doi.org/10.1155/2022/8946094.
Pełny tekst źródłaWersing, Heiko, i Edgar Körner. "Learning Optimized Features for Hierarchical Models of Invariant Object Recognition". Neural Computation 15, nr 7 (1.07.2003): 1559–88. http://dx.doi.org/10.1162/089976603321891800.
Pełny tekst źródłaWang, HongChao, i WenLiao Du. "Intelligent diagnosis of rolling bearing compound faults based on device state dictionary set sparse decomposition feature extraction–hidden Markov model". Advances in Mechanical Engineering 12, nr 6 (czerwiec 2020): 168781402093046. http://dx.doi.org/10.1177/1687814020930469.
Pełny tekst źródłaNardone, Davide, Angelo Ciaramella i Antonino Staiano. "A Sparse-Modeling Based Approach for Class Specific Feature Selection". PeerJ Computer Science 5 (18.11.2019): e237. http://dx.doi.org/10.7717/peerj-cs.237.
Pełny tekst źródłaPeng, Wei, Dong Wang, Changqing Shen i Dongni Liu. "Sparse Signal Representations of Bearing Fault Signals for Exhibiting Bearing Fault Features". Shock and Vibration 2016 (2016): 1–12. http://dx.doi.org/10.1155/2016/1835127.
Pełny tekst źródłaZhang, Zongzhen, Shunming Li, Zenghui An i Yu Xin. "Fast convolution sparse filtering and its application on gearbox fault diagnosis". Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 234, nr 9 (6.04.2020): 2291–304. http://dx.doi.org/10.1177/0954407020907818.
Pełny tekst źródłaXia, Shiqi, Yimin Xia i Jiawei Xiang. "Piston Wear Detection and Feature Selection Based on Vibration Signals Using the Improved Spare Support Vector Machine for Axial Piston Pumps". Materials 15, nr 23 (29.11.2022): 8504. http://dx.doi.org/10.3390/ma15238504.
Pełny tekst źródłaAfshar, Majid, i Hamid Usefi. "Optimizing feature selection methods by removing irrelevant features using sparse least squares". Expert Systems with Applications 200 (sierpień 2022): 116928. http://dx.doi.org/10.1016/j.eswa.2022.116928.
Pełny tekst źródłaDai, Ling, Guangyun Zhang, Jinqi Gong i Rongting Zhang. "Autonomous Learning Interactive Features for Hyperspectral Remotely Sensed Data". Applied Sciences 11, nr 21 (8.11.2021): 10502. http://dx.doi.org/10.3390/app112110502.
Pełny tekst źródłaYan, Jingjie, Xiaolan Wang, Weiyi Gu i LiLi Ma. "Speech Emotion Recognition Based on Sparse Representation". Archives of Acoustics 38, nr 4 (1.12.2013): 465–70. http://dx.doi.org/10.2478/aoa-2013-0055.
Pełny tekst źródłaHenry, Rawn, Olivia Hsu, Rohan Yadav, Stephen Chou, Kunle Olukotun, Saman Amarasinghe i Fredrik Kjolstad. "Compilation of sparse array programming models". Proceedings of the ACM on Programming Languages 5, OOPSLA (20.10.2021): 1–29. http://dx.doi.org/10.1145/3485505.
Pełny tekst źródłaGuo, Xiyang. "Research on Mushroom Image Classification Algorithm Based on Deep Sparse Dictionary Learning". Academic Journal of Science and Technology 9, nr 1 (20.01.2024): 235–40. http://dx.doi.org/10.54097/1f3xnx82.
Pełny tekst źródłaHe, Jiahui, Zhijun Cheng i Bo Guo. "Anomaly Detection in Satellite Telemetry Data Using a Sparse Feature-Based Method". Sensors 22, nr 17 (24.08.2022): 6358. http://dx.doi.org/10.3390/s22176358.
Pełny tekst źródłaXidao, Luan, Xie Yuxiang, Zhang Lili, Zhang Xin, Li Chen i He Jingmeng. "An Image Similarity Acceleration Detection Algorithm Based on Sparse Coding". Mathematical Problems in Engineering 2018 (2018): 1–9. http://dx.doi.org/10.1155/2018/1917421.
Pełny tekst źródłaChen, Zhong, Shengwu Xiong, Zhixiang Fang, Ruiling Zhang, Xiangzhen Kong i Yi Rong. "Topologically Ordered Feature Extraction Based on Sparse Group Restricted Boltzmann Machines". Mathematical Problems in Engineering 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/267478.
Pełny tekst źródłaZhang, Yayu, Yuhua Qian, Guoshuai Ma, Keyin Zheng, Guoqing Liu i Qingfu Zhang. "Learning Multi-Task Sparse Representation Based on Fisher Information". Proceedings of the AAAI Conference on Artificial Intelligence 38, nr 15 (24.03.2024): 16899–907. http://dx.doi.org/10.1609/aaai.v38i15.29632.
Pełny tekst źródłaWang, Bin, Yu Liu, Wei Wang, Wei Xu i Mao Jun Zhang. "Local Spatiotemporal Coding and Sparse Representation Based Human Action Recognition". Applied Mechanics and Materials 401-403 (wrzesień 2013): 1555–60. http://dx.doi.org/10.4028/www.scientific.net/amm.401-403.1555.
Pełny tekst źródłaKim, Hyuncheol, i Joonki Paik. "Low-Rank Representation-Based Object Tracking Using Multitask Feature Learning with Joint Sparsity". Abstract and Applied Analysis 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/147353.
Pełny tekst źródłaJin, Ju Bo, i Yu Xi Liu. "Sparse Representation of the Human Vision Information and the Saliency Detection Algorithm". Applied Mechanics and Materials 513-517 (luty 2014): 3349–53. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.3349.
Pełny tekst źródłaWang, Qing Wei, Zi Lu Ying i Lian Wen Huang. "Face Recognition Algorithm Based on Haar-Like Features and Gentle Adaboost Feature Selection via Sparse Representation". Applied Mechanics and Materials 742 (marzec 2015): 299–302. http://dx.doi.org/10.4028/www.scientific.net/amm.742.299.
Pełny tekst źródłaWang, Yong. "Online electronic signature recognition using sparse classification techniques that support neural models". Journal of Computational Methods in Sciences and Engineering 24, nr 1 (14.03.2024): 263–75. http://dx.doi.org/10.3233/jcm-237025.
Pełny tekst źródłaYang, Honghui, i Shuzhen Yi. "Underwater Acoustic Target Feature Fusion Method Based on Multi-Kernel Sparsity Preserve Multi-Set Canonical Correlation Analysis". Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 37, nr 1 (luty 2019): 87–92. http://dx.doi.org/10.1051/jnwpu/20193710087.
Pełny tekst źródłaYuan, Ye, Jiang Chen, Hong Lang i Jian (John) Lu. "Exploring the Efficacy of Sparse Feature in Pavement Distress Image Classification: A Focus on Pavement-Specific Knowledge". Applied Sciences 13, nr 18 (5.09.2023): 9996. http://dx.doi.org/10.3390/app13189996.
Pełny tekst źródłaHasler, Stephan, Heiko Wersing i Edgar Körner. "Combining Reconstruction and Discrimination with Class-Specific Sparse Coding". Neural Computation 19, nr 7 (lipiec 2007): 1897–918. http://dx.doi.org/10.1162/neco.2007.19.7.1897.
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