Items where Subject is "46 INFORMATION AND COMPUTING SCIENCES > 4603 Computer vision and multimedia computation > 460308 Pattern recognition"

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Number of items at this level: 22.

Article

Huo, Shuwei, Zhou, Yuan, Wang, Ruolin, Xiang, Wei, and Kung, Sun Yuan (2023) Semantic Relevance Learning for Video-Query Based Video Moment Retrieval. IEEE Transactions on Multimedia, 25. pp. 9290-9301.

Das, Abhijit, Suwanwiwat, Hemmaphan, and Pal, Umapada (2023) A novel multi-task learning technique for offline handwritten short answer spotting and recognition. Multimedia Tools and Applications. (In Press)

Suwanwiwat, Hemmaphan, Das, Abhijit, Saqib, Muhammad, and Pal, Umapada (2021) Benchmarked multi-script Thai scene text dataset and its multi-class detection solution. Multimedia Tools and Applications, 80. pp. 11843-11863.

Zhang, Dongzhi, Lee, Kyungmi, and Lee, Ickjai (2019) Multi-level medical periodic patterns from human movement behaviors. Health Information Science and Systems, 7 (1). 9.

Bi, Lei, Kim, Jinman, Ahn, Euijoon, Kumar, Ashnil, Feng, Dagan, and Fulham, Michael (2019) Step-wise integration of deep class-specific learning for dermoscopic image segmentation. Pattern Recognition, 85. pp. 78-89.

Xie, Jie, Indraswari, Karlina, Schwarzkopf, Lin, Towsey, Michael, Zhang, Jinglan, and Roe, Paul (2018) Acoustic classification of frog within-species and species-specific calls. Applied Acoustics, 131. pp. 79-86.

Das, Abhijit, Suwanwiwat, Hemmaphan, Ferrer, Miguel A., Pal, Umapada, and Blumenstein, Michael (2018) Thai automatic signature verification system employing textural features. IET Biometrics, 7 (6). pp. 615-627.

Bi, Lei, Kim, Jinman, Ahn, Euijoon, Kumar, Ashnil, Fulham, Michael, and Feng, Dagan (2017) Dermoscopic image segmentation via multistage fully convolutional networks. IEEE Transactions on Biomedical Engineering, 64 (9). pp. 2065-2074.

Ahn, Euijoon, Kim, Jinman, Bi, Lei, Kumar, Ashnil, Li, Changyang, Fulham, Michael, and Feng, David Dagan (2017) Saliency-Based Lesion Segmentation Via Background Detection in Dermoscopic Images. IEEE Journal of Biomedical and Health Informatics, 21 (6). pp. 1685-1693.

Conference Item

Subash, Aditya, Song, Insu, and Tao, Kexin (2023) Robust Keystroke Behavior Features for Continuous User Authentication for Online Fraud Detection. In: Lecture Notes in Networks and Systems (693) pp. 879-891. From: ICICT 2023: International Conference on Information and Computer Technologies, 24-26 March 2023, London, UK.

Liu, Liu, Chen, Chao, Zhang, Jun, De Vel, Olivier, and Xiang, Yang (2020) Doc2vec-based insider threat detection through behaviour analysis of multi-source security logs. In: Proceedings of the IEEE 19th International Conference on Trust, Security and Privacy in Computing. pp. 301-309. From: TrustCom 2020: IEEE 19th International Conference on Trust, Security and Privacy in Computing, 29 December 2020 - 1 January 2021, Guangzhou, China.

Das, Abhijit, Suwanwiwat, Hemmaphan, Pal, Umapada, and Blumenstein, Michael (2020) ICFHR 2020 Competition on Short answer ASsessment and Thai student SIGnature and Name COMponents Recognition and Verification (SASIGCOM 2020). In: Proceedings of the 17th International Conference on Frontiers in Handwriting Recognition. pp. 222-227. From: ICFHR 2020: 17th International Conference on Frontiers in Handwriting Recognition, 8-10 September 2020, Dortmund, Germany.

Guo, Yuyu, Bi, Lei, Ahn, Euijoon, Feng, Dagan, Wang, Quian, and Kim, Jinman (2020) A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 4725-4734. From: CVPR 2020: IEEE/CVF Conference on Computer Vision and Pattern Recognition, 13-19 June 2020, Seattle, WA, USA.

Ahn, Euijoon, Kumar, Ashnil, Feng, Dagan, Fulham, Michael, and Kim, Jinman (2019) Unsupervised Deep Transfer Feature Learning for Medical Image Classification. In: Proceedings of the IEEE 16th International Symposium on Biomedical Imaging. pp. 1915-1918. From: ISB I2019: IEEE 16th International Symposium on Biomedical Imaging, 8-11 April 2019, Venice, Italy.

Suwanwiwat, Hemmaphan, Das, Abhijit, Ferrer, Miguel, Pal, Umapada, and Blumenstein, Michael (2018) An investigation of discrete Hidden Markov Models on handwritten short answer assessment system. In: Proceedings of the International Conference on Pattern Recognition and Artificial Intelligence. pp. 144-149. From: ICPRAI 2018: International Conference on Pattern Recognition and Artificial Intelligence, May 14-17 2018, Montréal, Canada.

Suwanwiwat, Hemmaphan, Das, Abhijit, Pal, Umapada, and Blumenstein, Michael (2018) ICFHR 2018 competition on Thai student signatures and name components recognition and verification (TSNCRV2018). In: Proceedings of the 16th International Conference on Frontiers in Handwriting Recognition. pp. 500-505. From: ICFHR 2018: 16th International Conference on Frontiers in Handwriting Recognition, 5-8 August 2018, Niagara Falls, NY, USA.

Huang, Yi, Song, Insu, Rana, Priyanka, and Koh, Guan (2017) Fast diagnosis of bowel activities. In: Proceedings of the International Joint Conference on Neural Networks. pp. 3042-3049. From: IJCNN 2017: International Joint Conference on Neural Networks, 14-19 May 2017, Anchorage, AK, USA.

Bi, Lei, Kim, Jinman, Ahn, Euijoon, Feng, Dagan, and Fulham, Michael (2017) Semi-automatic skin lesion segmentation via fully convolutional networks. In: Proceedings of the IEEE 14th International Symposium on Biomedical Imaging. pp. 561-564. From: ISBI 2017: IEEE 14th International Symposium on Biomedical Imaging, 18-21 April 2017, Melbourne, VIC, Australia.

Suwanwiwat, Hemmaphan, Pal, Umapada, and Blumenstein, Michael (2016) An investigation of novel combined features for a handwritten short answer assessment system. In: Proceedings of the 15th International Conference on Frontiers in Handwriting Recognition. pp. 102-107. From: ICFHR 2016: 15th International Conference on Frontiers in Handwriting Recognition, 23-26 October 2016, Shenzhen, China.

Bi, Lei, Kim, Jinman, Ahn, Euijoon, Feng, Dagan, and Fulham, Michael (2016) Automated skin lesion segmentation via image-wise supervised learning and multi-scale superpixel based cellular automata. In: Proceedings of the 13th International Symposium on Biomedical Imaging. pp. 1059-1062. From: ISBI 2016: 13th International Symposium on Biomedical Imaging, 13-16 April 20216, Prague, Czech Republic.

Bi, Lei, Kim, Jinman, Ahn, Euijoon, Feng, Dagan, and Fulham, Michael (2016) Automatic melanoma detection via multi-scale lesion-biased representation and joint reverse classification. In: Proceedings of the 13th International Symposium on Biomedical Imaging (4) pp. 1055-1058. From: ISBI 2016: 13th International Symposium on Biomedical Imaging, 13-16 April 20216, Prague, Czech Republic.

Ahn, Euijoon, Bi, Lei, Jung, Youn Hyun, Kim, Jinman, Li, Changyang, Fulham, Michael, and Feng, David Dagan (2015) Automated saliency-based lesion segmentation in dermoscopic images. In: Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. pp. 3009-3012. From: EMBC 2015: 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 25-29 August 2015, Milan, Italy.

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