Suchergebnisse - Computer Learning and Pattern Recognition

Computer Vision and Machine Learning-Based Gait Pattern Recognition for Flat Fall Prediction von Chen, Biao, Chen, Chaoyang, Hu, Jie, Sayeed, Zain, Qi, Jin, Darwiche, Hussein F., Little, Bryan E., Lou, Shenna, Darwish, Muhammad, Foote, Christopher, Palacio-Lascano, Carlos

“… The long-term goal of our study is to develop a gait recognition computer vision system using artificial intelligence (AI …”
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Review of Deep Learning Based Iris Recognition von JIANG Jian, ZHANG Qi, WANG Caiyong

“… The highly accurate, secure, and stable biometric technology of iris recognition is well-known …”
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Closing Editorial for Computer Vision and Pattern Recognition Based on Deep Learning von Yuan, Hui

“… Deep learning has demonstrated unparalleled performance in various industries [...] …”
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Shoulder muscle activation pattern recognition based on sEMG and machine learning algorithms von Jiang, Yongyu, Chen, Christine, Zhang, Xiaodong, Chen, Chaoyang, Zhou, Yang, Ni, Guoxin, Muh, Stephanie, Lemos, Stephen

“… •Results demonstrated multiple channel EMG signal processing using CNN algorithms is a highly effective methods for motion pattern recognition …”
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Deep study on autonomous learning techniques for complex pattern recognition in interconnected information systems von Amiri, Zahra, Heidari, Arash, Jafari, Nima, Hosseinzadeh, Mehdi

“… pattern recognition in linked information systems, these studies still do not have a complete taxonomy that sorts …”
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A survey of robust adversarial training in pattern recognition: Fundamental, theory, and methodologies von Qian, Zhuang, Huang, Kaizhu, Wang, Qiu-Feng, Zhang, Xu-Yao

“… Deep neural networks have achieved remarkable success in machine learning, computer vision, and pattern recognition in the last few decades …”
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A study on giant panda recognition based on images of a large proportion of captive pandas von Chen, Peng, Swarup, Pranjal, Matkowski, Wojciech Michal, Kong, Adams Wai Kin, Han, Su, Zhang, Zhihe, Rong, Hou

“… As a highly endangered species, the giant panda (panda) has attracted significant attention in the past decades. Considerable efforts have been put on panda …”
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Feature Extraction for Incomplete Data Via Low-Rank Tensor Decomposition With Feature Regularization von Shi, Qiquan, Cheung, Yiu-Ming, Zhao, Qibin, Lu, Haiping

“… Extracting features from incomplete tensors is an important yet challenging problem in many fields such as machine learning, pattern recognition, and computer vision …”
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Efficient Sparse Representation for Learning With High-Dimensional Data von Chen, Jie, Yang, Shengxiang, Wang, Zhu, Mao, Hua

“… , such as image processing, computer vision, and pattern recognition. Learning sparse representations isoften computationally expensive due to the iterative computations …”
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Digital postprocessing and image segmentation for objective analysis of colorimetric reactions von Woolf, M. Shane, Dignan, Leah M., Scott, Anchi T., Landers, James P.

“… ). Development of tailor-made software (e.g., smartphone applications) for advanced image analysis requires complex, custom-written processing algorithms, advanced computer …”
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Model Soups for Various Training and Validation Data von Suzuki, Kaiyu, Matsuzawa, Tomofumi

“… Model soups synthesize multiple models after fine-tuning them with different hyperparameters based on the accuracy of the validation data. They train different …”
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Online pattern recognition and machine learning techniques for computer-vision: Theory and applications von Raducanu, Bogdan, Vitrià, Jordi, Leonardis, Ales

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Learning classifiers in clustered data: BCI pattern recognition model for EEG-based human emotion recognition von Kheirabadi, Raoufeh, Omranpour, Hesam

“… Evidence suggests that human emotions can be detected using Electroencephalography (EEG) brain signals. Recorded EEG signals, due to their large size, may not …”
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Automatic Recognition of Speed Limits on Speed-Limit Signs by Using Machine Learning von Miyata, Shigeharu

“… This method consists of the following three processes: first (1) a method of detecting the speed-limit signs with a machine learning method utilizing the local binary pattern (LBP …”
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Computer-Aided Diagnosis of Duchenne Muscular Dystrophy Based on Texture Pattern Recognition on Ultrasound Images Using Unsupervised Clustering Algorithms and Deep Learning von Liao, Ai-Ho, Wang, Chih-Hung, Wang, Chong-Yu, Liu, Hao-Li, Chuang, Ho-Chiao, Tseng, Wei-Jye, Weng, Wen-Chin, Shih, Cheng-Ping, Tsui, Po-Hsiang

“… The feasibility of using deep learning in ultrasound imaging to predict the ambulatory status of patients with Duchenne muscular dystrophy (DMD …”
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Parallel ensemble learning of convolutional neural networks and local binary patterns for face recognition von Tang, Jialin, Su, Qinglang, Su, Binghua, Fong, Simon, Cao, Wei, Gong, Xueyuan

“… •A new parallel ensemble learning model combines local binary patterns into CNN.•The proposed method is fused with a pedestrian detection model as a hybrid model …”
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Sparse representation and learning in visual recognition: Theory and applications von Cheng, Hong, Liu, Zicheng, Yang, Lu, Chen, Xuewen

“… Sparse representation and learning has been widely used in computational intelligence, machine learning, computer vision and pattern recognition, etc …”
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Development and validation of a Brazilian sign language database for human gesture recognition von Rezende, Tamires Martins, Almeida, Sílvia Grasiella Moreira, Guimarães, Frederico Gadelha

“… Sign language recognition is considered the most important and challenging application in gesture recognition, involving the fields of pattern recognition, machine learning and computer vision …”
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Computer vision applications for the detection or analysis of tuberculosis using digitised human lung tissue images - a systematic review von Lumamba, Kapongo D., Wells, Gordon, Naicker, Delon, Naidoo, Threnesan, Steyn, Adrie J. C., Gwetu, Mandlenkosi

“… We categorised the computer vision platform into four technologies: image processing, object/pattern recognition, computer graphics, and deep learning …”
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Brain graph super-resolution for boosting neurological disorder diagnosis using unsupervised multi-topology connectional brain template learning von Mhiri, Islem, Khalifa, Anouar Ben, Mahjoub, Mohamed Ali, Rekik, Islem

“… (i.e., removing nodes, edges, or both) in diverse predictive learning tasks in pattern recognition, computer vision, and medical data analysis such as dimensionality reduction, filtering and embedding techniques …”
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