| |
|
|
| |
| |
|
Date Reviewed |
|
| |
1 - 5 of 5
reviews
|
|
|
 |
|
|
|
|
Understanding the needs of searchers with dyslexia
Morris M., Fourney A., Ali A., Vonessen L. CHI 2018 (Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, Montreal, Canada, Apr 21-26, 2018) 1-12, 2018. Type: Proceedings
This paper looks at the web search needs of people with dyslexia, taking into consideration the difficulties they may face in query formulation, result triage, and information extraction. The authors specifically describe the differenc...
|
Aug 29 2019 |
|
|
|
|
|
|
 A discriminatively learned CNN embedding for person reidentification
Zheng Z., Zheng L., Yang Y. ACM Transactions on Multimedia Computing, Communications, and Applications 14(1): 1-20, 2017. Type: Article
For knowing whether the same person appears in two images (reidentification), one can either use identification models (that is, classifying the person to its identity) or verification models (that is, classifying whether both the imag...
|
May 4 2018 |
|
|
|
|
|
|
Deep learning for mobile multimedia: a survey
Ota K., Dao M., Mezaris V., De Natale F. ACM Transactions on Multimedia Computing, Communications, and Applications 13(3s): 1-22, 2017. Type: Article
Deep learning architectures, tools, and algorithms are, in general, not adapted to the storage and computation resources of a mobile device. Thus, one needs better hardware for mobile devices and smaller footprints for learning and inf...
|
Jan 29 2018 |
|
|
|
|
|
|
Data-driven answer selection in community QA systems
Nie L., Wei X., Zhang D., Wang X., Gao Z., Yang Y. IEEE Transactions on Knowledge and Data Engineering 29(6): 1186-1198, 2017. Type: Article
Nie et al. present an algorithm for ranking answer candidates from all of the available answers for a new question in a community question-answering (QA) system. One simple approach is to select the most similar question and, among the...
|
Oct 24 2017 |
|
|
|
|
|
|
Generalized deep transfer networks for knowledge propagation in heterogeneous domains
Tang J., Shu X., Li Z., Qi G., Wang J. ACM Transactions on Multimedia Computing, Communications, and Applications 12(4s): 1-22, 2016. Type: Article
This paper is about the transfer of learning knowledge from one domain to another domain. Specifically, the paper considers knowledge transfer from textual domains to image domains. Input consists of some tagged images and their corres...
|
Mar 7 2017 |
|
|
|
|
|
| |
|
|
| |
|
|
