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pro vyhledávání: '"Kien A. Hua"'
Autor:
Kien A. Hua, Kutalmis Akpinar
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications. 16:1-23
Software-defined networking introduces opportunities to optimize the Internet Service Provider’s network and to improve client experience for the Video-on-Demand applications. Recent studies on SDN frameworks show that traffic engineering methods a
Autor:
Kien A. Hua, Fereshteh Jafariakinabad
Publikováno v:
SN Computer Science. 2
Writing style in written language is a combination of consistent decisions associated with a specific author at different levels of language production, including lexical, syntactic, and structural. The recent work in neural network based style analy
Publikováno v:
International Journal of Semantic Computing. 12:481-500
With the growth of crowd phenomena in the real world, crowd scene understanding is becoming an important task in anomaly detection and public security. Visual ambiguities and occlusions, high density, low mobility, and scene semantics, however, make
Publikováno v:
ICPR
Music is one of the most appreciated forms of art, and generating songs has become a popular subject in the artificial intelligence community. There are various networks that can produce pleasant sounding music, but no model has been able to produce
Publikováno v:
ICME
With recent advances in artificial intelligence, recurrent neural networks have successfully generated pleasing melodies; however, they have struggled to create a full song that has structure, theme, and uniqueness. To overcome this limitation, we in
Publikováno v:
ICPR
Matching information across image and text modalities is a fundamental challenge for many applications that involve both vision and natural language processing. The objective is to find efficient similarity metrics to compare the similarity between v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37887769bd8b211ce242acbe7132a340
Autor:
Fereshteh Jafariakinabad, Kien A. Hua
The syntactic structure of sentences in a document substantially informs about its authorial writing style. Sentence representation learning has been widely explored in recent years and it has been shown that it improves the generalization of differe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::901a88ca8f8e5e097d691625b3c2fb95
Publikováno v:
IEEE Transactions on Multimedia. 20:1901-1915
A user-specific model generally performs better in facial affect recognition. Existing solutions, however, have usability issues since the annotation can be long and tedious for the end users (e.g., consumers). We address this critical issue by prese
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications. 14:1-23
Learning-based hashing has been researched extensively in the past few years due to its great potential in fast and accurate similarity search among huge volumes of multimedia data. In this article, we present a novel multimedia hashing framework, ca
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 39:1825-1838
Hashing has attracted a great deal of research in recent years due to its effectiveness for the retrieval and indexing of large-scale high-dimensional multimedia data. In this paper, we propose a novel ranking-based hashing framework that maps data f