Author: Liang-Guo Zhang
Publications
Co-authors
- Yiqiang Chen
- Xilin Chen
- Wen Gao
- 4
- 5
- 5
Productive Colleagues
- Yiqiang Chen
- Xilin Chen
- Wen Gao
- 9
- 15
- 35
Publications
Zhang, Liang-Guo, Chen, Yiqiang, Fang, Gaolin, Chen, Xilin, Gao, Wen (2004): A vision-based sign language recognition system using tied-mixture density HMM. In: Sharma, Rajeev, Darrell, Trevor, Harper, Mary P., Lazzari, Gianni, Turk, Matthew (eds.) Proceedings of the 6th International Conference on Multimodal Interfaces - ICMI 2004 October 13-15, 2004, State College, PA, USA. pp. 198-204. https://doi.acm.org/10.1145/1027933.1027967
Zhang, Liang-Guo, Chen, Xilin, Wang, Chunli, Chen, Yiqiang, Gao, Wen (2005): Recognition of sign language subwords based on boosted hidden Markov models. In: Lazzari, Gianni, Pianesi, Fabio, Crowley, James L., Mase, Kenji, Oviatt, Sharon L. (eds.) Proceedings of the 7th International Conference on Multimodal Interfaces - ICMI 2005 October 4-6, 2005, Trento, Italy. pp. 282-287. https://doi.acm.org/10.1145/1088463.1088511
Zhang, Liang-Guo, Chen, Xilin, Wang, Chunli, Gao, Wen (2005): Hierarchical voting classification scheme for improving visual sign language recognition. In: Zhang, Hongjiang, Chua, Tat-Seng, Steinmetz, Ralf, Kankanhalli, Mohan S., Wilcox, Lynn (eds.) Proceedings of the 13th ACM International Conference on Multimedia November 6-11, 2005, Singapore. pp. 339-342. https://doi.acm.org/10.1145/1101149.1101220
Zhang, Liang-Guo, Chen, Yiqiang, Fang, Gaolin, Chen, Xilin, Gao, Wen (2004): A vision-based sign language recognition system using tied-mixture density HMM. In: Proceedings of the 2004 International Conference on Multimodal Interfaces , 2004, . pp. 198-204. https://doi.acm.org/10.1145/1027933.1027967
Zhang, Liang-Guo, Chen, Xilin, Wang, Chunli, Chen, Yiqiang, Gao, Wen (2005): Recognition of sign language subwords based on boosted hidden Markov models. In: Proceedings of the 2005 International Conference on Multimodal Interfaces , 2005, . pp. 282-287. https://doi.acm.org/10.1145/1088463.1088511