From post

Detection and Classification of Faulty Weft Threads Using Both Feature-Based and Deep Convolutional Machine Learning Methods.

, , , , и . ICPRAM (Revised Selected Papers), том 11351 из Lecture Notes in Computer Science, стр. 141-163. Springer, (2018)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

A Method for Semantic Knee Bone and Cartilage Segmentation with Deep 3D Shape Fitting Using Data from the Osteoarthritis Initiative., , , , , , , , , и 1 other автор(ы). ShapeMI@MICCAI, том 12474 из Lecture Notes in Computer Science, стр. 85-94. Springer, (2020)Face Tracking and Respiratory Signal Analysis for the Detection of Sleep Apnea in Thermal Infrared Videos with Head Movement., , и . ICIAP Workshops, том 10590 из Lecture Notes in Computer Science, стр. 163-170. Springer, (2017)Computation of Traveled Distance of Pigs in an Open Field with Fully Convolutional Neural Networks., , , , и . Bildverarbeitung für die Medizin, стр. 229-234. Springer, (2022)Towards Analysis of Mental Stress Using Thermal Infrared Tomography., , и . Bildverarbeitung für die Medizin, стр. 157-162. Springer Vieweg, (2018)Robust Statistics for Feature-based Active Appearance Models., , и . ICETE (1), стр. 587-592. SciTePress, (2018)Monoplanar CT Reconstruction with GANs., , , , , , и . IPTA, стр. 1-6. IEEE, (2022)Detection and Classification of Faulty Weft Threads Using Both Feature-Based and Deep Convolutional Machine Learning Methods., , , , и . ICPRAM (Revised Selected Papers), том 11351 из Lecture Notes in Computer Science, стр. 141-163. Springer, (2018)Assessment of Laboratory Mouse Activity in Video Recordings Using Deep Learning Methods., , , , , и . EMBC, стр. 3673-3676. IEEE, (2019)Efficient Deep Face Alignment with Explicit Statistical Shape Models in Convolutional Neural Networks., , , и . IPTA, стр. 1-6. IEEE, (2020)Robust Open Field Rodent Tracking Using a Fully Convolutional Network and a Softargmax Distance Loss., , , , , и . Bildverarbeitung für die Medizin, стр. 242-247. Springer, (2020)