Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Kennedy, Lyndon"'
Autor:
Lee, Matthew, Kennedy, Lyndon, Girgensohn, Andreas, Wilcox, Lynn, Lee, John Song En, Tan, Chin Wen, Sng, Ban Leong
Managing post-surgical pain is critical for successful surgical outcomes. One of the challenges of pain management is accurately assessing the pain level of patients. Self-reported numeric pain ratings are limited because they are subjective, can be
Externí odkaz:
http://arxiv.org/abs/2006.12246
Photo applications offer tools for annotation via text and stickers. Ideophones, mimetic and onomatopoeic words, which are common in graphic novels, have yet to be explored for photo annotation use. We present a method for automatic ideophone recomme
Externí odkaz:
http://arxiv.org/abs/2006.06165
The quality of user experience online is affected by the relevance and placement of advertisements. We propose a new system for selecting and displaying visual advertisements in image search result sets. Our method compares the visual similarity of c
Externí odkaz:
http://arxiv.org/abs/1604.06481
We propose a novel hashing-based matching scheme, called Locally Optimized Hashing (LOH), based on a state-of-the-art quantization algorithm that can be used for efficient, large-scale search, recommendation, clustering, and deduplication. We show th
Externí odkaz:
http://arxiv.org/abs/1604.06480
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 13:80-90
Millions of images are shared through social media every day. Yet, we know little about how the activities and preferences of users are dependent on the content of these images. In this paper, we seek to understand viewers engagement with photos. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a13ef08032eea21fb03ceb18eed705d7
https://doi.org/10.1609/icwsm.v13i01.3211
https://doi.org/10.1609/icwsm.v13i01.3211
We build a system to automatically detect laughter events in meetings, where laughter events are defined as points in the meeting where a number of the participants (more than just one) are laughing simultaneously. We implement our system using a sup
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9679cfe20228581400864cb988e7362
Autor:
Kennedy, Lyndon, Hauptmann, Alexander
The DTO sponsored LSCOM workshop is developing an expanded multimedia concept lexicon on the order of 1000. Concepts related to events, objects, locations, people, and programs have been selected following a multi-step process involving input solicit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2052baf3aa8afed6772687ce43d65cc8
The automatic extraction of key utterances in spoken data has emerged as an interesting and difficult topic in automatic speech recognition. "Emphasis" or "excitement" may be a useful identifier for these utterances of interest. We undertake the task
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5514991ee96893100d1381575af0e072
Publikováno v:
Social Media Retrieval; 2013, p3-22, 20p
Publikováno v:
Proceedings of the 2nd ACM International Conference Multimedia Retrieval; 6/5/2012, p1-8, 8p