Showing 81 - 100 results of 112 for search '"face recognition"', query time: 0.05s Refine Results
  1. 81

    A New Multiface Target Detection Algorithm for Students in Class Based on Bayesian Optimized YOLOv3 Model by Dongmei Shi, Hongyu Tang

    Published 2022-01-01
    “…Deep learning theory is widely used in face recognition. Combined with the needs of classroom attendance and students’ learning status monitoring, this article analyzes the YOLO (You Only Look Once) face recognition algorithms based on regression method. …”
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    Article
  2. 82

    Student Attendance System by Face Detection Using the Dlib Face Detector Model. by Ndyamuhakyi, Osbart, Nabukenya, Eva

    Published 2024
    “…In recent years, research has been carried out and face recognition and detection systems have been developed. …”
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    Thesis
  3. 83

    Peningkatan Performa Pengenalan Wajah pada Gambar Low-Resolution Menggunakan Metode Super-Resolution by Muhammad Imaduddin Abdur Rohim, Auliati Nisa, Muhammad Nurkhoiri Hindratno, Radhiyatul Fajri, Gembong Satrio Wibowanto, Nova Hadi Lestriandoko, Pesigrihastamadya Normakristagaluh

    Published 2024-02-01
    “…Penelitian ini menunjukkan bahwa metode SR dari kategori General Basic CNN-based FSR dapat digunakan untuk meningkatkan kinerja face recognition pada gambar LR, seperti pada KTP-el. …”
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    Article
  4. 84

    Recognition Memory in Psychotic Patients by H. Ellis, K. De Pauw, G. N. Christodoulou, J.-P. Luaute, E. Bidault, K. Szulecka

    Published 1992-01-01
    “…The results showed a profound impairment on face recognition for most groups, especially those with the Capgras delusion. …”
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    Article
  5. 85

    Machine Learning Classifiers Based Classification For IRIS Recognition by Bahzad Taha Chicho, Adnan Mohsin Abdulazeez, Diyar Qader Zeebaree, Dilovan Assad Zebari

    Published 2021-05-01
    “…Classification is the most widely applied machine learning problem today, with implementations in face recognition, flower classification, clustering, and other fields. …”
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    Article
  6. 86

    Image Recognition Based on Two-Dimensional Principal Component Analysis Combining with Wavelet Theory and Frame Theory by Pingping Tao, Xiaoliang Feng, Chenglin Wen

    Published 2018-01-01
    “…Finally, this algorithm is compared other algorithms in the standard ORL face recognition database. The comparison of recognition rate and recognition time by simulation experiment is carried out in order to obtain the validity of the proposed algorithm.…”
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    Article
  7. 87

    The emotional facial recognition performance of Chinese patients with schizophrenia: An event-related potentials study by Yangjun Zhang, Ding Zhao, Jianfan Wu, Lixin Lin, Jiawu Ji

    Published 2023-03-01
    “…Conclusion: These findings indicated that SZs had a noticeable deficiency in the structural coding of face recognition and available attentional resources.…”
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    Article
  8. 88

    Analysis of The Role of Deep Learning Models in Image Classification Applications by Li Xiang

    Published 2025-01-01
    “…Image classification is a fundamental task in computer science, underpinning various applications such as object detection, face recognition, and object interaction analysis. The concept holds significant value due to its wide-ranging applications across multiple fields. …”
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    Article
  9. 89

    Multiview Discriminative Geometry Preserving Projection for Image Classification by Ziqiang Wang, Xia Sun, Lijun Sun, Yuchun Huang

    Published 2014-01-01
    “…Experimental results on face recognition and facial expression recognition demonstrate the effectiveness of the proposed algorithm.…”
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    Article
  10. 90

    Sparse Graph Embedding Based on the Fuzzy Set for Image Classification by Minghua Wan, Mengting Ge, Tianming Zhan, Zhangjing Yang, Hao Zheng, Guowei Yang

    Published 2021-01-01
    “…To solve the problems, a new and effective dimensional reduction method for face recognition is proposed—sparse graph embedding with the fuzzy set for image classification. …”
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    Article
  11. 91

    Gender differences in the recognition of emotional faces: are men less efficient? by Ana Ruiz-Ibáñez, José T. Boyano

    Published 2017-06-01
    “…This information reinforces not only the hypothesis of gender difference in face recognition, in favor of women, but also these ones that suggest a different cognitive processing of facial stimuli in both sexes. …”
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    Article
  12. 92

    Analysis of Acoustic Signals of Footsteps from the Piezoelectric Sensor by Bilge Çiğdem Çiftçi, Gamze Kaya, Mustafa Kurt

    Published 2023-12-01
    “…The source of the acoustic signal can be determined by matching it with the existing database using machine learning algorithms like face recognition systems for future goals.…”
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    Article
  13. 93

    Distributed sensing units deploying on group unmanned vehicles by Bao Rong Chang, Hsiu-Fen Tsai, Jyong-Lin Lyu, Chien-Feng Huang

    Published 2021-07-01
    “…In addition, the payload attached to unmanned air/ground vehicles can carry out multipurpose monitoring that implements face recognition, gas detection, thermal imaging, and video recording. …”
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    Article
  14. 94

    Forearm multimodal recognition based on IAHP‐entropy weight combination by Chaoying Tang, Mengen Qian, Ru Jia, Haodong Liu, Biao Wang

    Published 2023-01-01
    “…The recent COVID‐19 pandemic has led to the wide use of face masks, which greatly affects the traditional face recognition technology. The pandemic has also increased the focus on hygienic and contactless identity verification methods. …”
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    Article
  15. 95

    Applications of Artificial Intelligence in Ophthalmology: General Overview by Wei Lu, Yan Tong, Yue Yu, Yiqiao Xing, Changzheng Chen, Yin Shen

    Published 2018-01-01
    “…With the emergence of unmanned plane, autonomous vehicles, face recognition, and language processing, the artificial intelligence (AI) has remarkably revolutionized our lifestyle. …”
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    Article
  16. 96

    Rolling Bearing Fault Diagnosis Based on STFT-Deep Learning and Sound Signals by Hongmei Liu, Lianfeng Li, Jian Ma

    Published 2016-01-01
    “…Stacked sparse autoencoders or other deep architectures have shown excellent performance in speech recognition, face recognition, text classification, image recognition, and other application domains. …”
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    Article
  17. 97

    An MRI, SPECT and Neuropsychological Study of a Patient Presenting with Capgras Syndrome by J. Mackie, K. P. Ebmeier, R. E. O'Carroll

    Published 1994-01-01
    “…He demonstrated average or above average recognition memory for patterns, spaces or words, but exhibited a marked and disproportionate impairment in face recognition, performing at the 5th percentile. In addition he demonstrated markedly impaired performance on various tests of executive function. …”
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    Article
  18. 98

    Searching, Navigating, and Recommending Movies through Emotions: A Scoping Review by Nuno Piçarra, Eduardo Reis, Teresa Chambel, Patrícia Arriaga

    Published 2022-01-01
    “…Sentiment analysis (n=31) is frequently used for emotion identification, followed by subjective evaluations (n=15), movie low-level audio and visual features (n = 11), and face recognition technologies (n=8). We discuss limitations and offer a brief review of current emotion models and research.…”
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    Article
  19. 99

    Deep patch‐wise supervision for presentation attack detection by Alperen Kantarcı, Hasan Dertli, Hazım Kemal Ekenel

    Published 2022-09-01
    “…Abstract Face recognition systems have been widely deployed in various applications, such as online banking and mobile payment. …”
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    Article
  20. 100

    A Three-Dimensional Anisotropic Diffusion Equation-Based Video Recognition Model for Classroom Concentration Evaluation in English Language Teaching by Yanghong Liu, Jintao Liu

    Published 2021-01-01
    “…Based on the above face detection and expression recognition algorithms, the classroom concentration analysis system based on expression recognition is designed to achieve real-time acquisition and processing of classroom images, complete student classroom attendance records using face detection and face recognition methods, and analyze students’ concentration from the face integrity and facial expression of students facing the blackboard by combining face detection and expression recognition to visualize and display students’ classroom data for teachers, students, and parents with more data support and help.…”
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    Article