Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Taygun Kekec"'
Publikováno v:
Pattern Recognition Letters. 125:310-317
Learning probability densities for natural language representations is a difficult problem because language is inherently sparse and high-dimensional. Negative sampling is a popular and effective way to avoid intractable maximum likelihood problems,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5518c5e9b45f1d105458f3611254351a
https://doi.org/10.1016/j.patrec.2019.04.027
https://doi.org/10.1016/j.patrec.2019.04.027
Publikováno v:
Medical Imaging: Image-Guided Procedures
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfa55690122600df437bfd49a960e9d8
https://doi.org/10.1117/12.2551439
https://doi.org/10.1117/12.2551439
Due to copyright restrictions, the access to the full text of this article is only available via subscription. Topic modeling is a powerful approach for modeling data represented as high-dimensional histograms. While the high dimensionality of such i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e725c905d13c82f58c741fe755a690a
https://www.sciencedirect.com/science/article/pii/S0031320317305150
https://www.sciencedirect.com/science/article/pii/S0031320317305150
Publikováno v:
ICISDM
Word embedding models learn a distributed vectorial representation for words, which can be used as the basis for (deep) learning models to solve a variety of natural language processing tasks. One of the main disadvantages of current word embedding m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe2266e0085de0f94f959668095f2684
https://doi.org/10.1145/3206098.3206101
https://doi.org/10.1145/3206098.3206101
Publikováno v:
2017 IEEE International Conference on Smart Energy Grid Engineering (SEGE)
Many countries aim to integrate a substantial amount of wind energy in the near future. This requires meticulous planning, which is challenging due to the uncertainty in wind profiles. In this paper, we propose a novel framework to discover and inves
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02f42dd27f07eee8b0a6d005053263b4
https://doi.org/10.1109/sege.2017.8052796
https://doi.org/10.1109/sege.2017.8052796
Autor:
Taygun Kekec, David M. J. Tax
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. :1-1
Word embeddings learn a vector representation of words, which can be utilized in a large number of natural language processing applications. Learning these vectors shares the drawback of unsupervised learning: representations are not specialized for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::039914e7536a92bc330365afd116aaa3
https://doi.org/10.1109/tkde.2019.2942021
https://doi.org/10.1109/tkde.2019.2942021
Publikováno v:
Proceedings British Machine Vision Conference 2014
British Machine Vision Conference, 2014
British Machine Vision Conference, 2014, Sep 2014, Nottingham, United Kingdom
BMVC
HAL
British Machine Vision Conference, 2014
British Machine Vision Conference, 2014, Sep 2014, Nottingham, United Kingdom
BMVC
HAL
International audience; Learning using deep learning architectures is a difficult problem: the complexity of the prediction model and the difficulty of solving non-convex optimization problems inherent to most learning algorithms can both lead to ove
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c400ef12986c7d66983f9e246e04e226
https://hal.archives-ouvertes.fr/hal-01020539
https://hal.archives-ouvertes.fr/hal-01020539
Publikováno v:
Mathematical and Computational Applications
Volume 18
Issue 3
Pages 373-382
Volume 18
Issue 3
Pages 373-382
This paper presents a new multiple object tracking framework where arbitrarily shaped complex objects having severe occlusions are successfully tracked in real-time using stationary cameras. The proposed method utilizes the concept of a virtual shell
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9754e0ea630c73045fd7f26d6f6aae79
Publikováno v:
IECON
There have been several attempts to create scalable and hardware independent software architectures for Unmanned Aerial Vehicles (UAV). In this work, we propose an onboard architecture for UAVs where hardware abstraction, data storage and communicati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6699980f38830425b74996aedbf8b329