Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Taner Danisman"'
Autor:
Taner Danisman
Publikováno v:
TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 29:2084-2100
Publikováno v:
Annals of Emerging Technologies in Computing. 5:1-10
The human eye contains valuable information about an individual’s identity and health. Therefore, segmenting the eye into distinct regions is an essential step towards gathering this useful information precisely. The main challenges in segmenting t
Autor:
Ugur Hazir, Taner Danisman
Publikováno v:
Trends in Data Engineering Methods for Intelligent Systems ISBN: 9783030793562
There are many models at Finance sector to decide which stock to buy or sell and when to act. Financers apply Stochastic oscillator with Bollinger bands, MACD Indicator (Moving Average Convergence Divergence), RSI (Relative Strength Index) Indicator
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::051ee785f02ef49ace775ceff9cbb207
https://doi.org/10.1007/978-3-030-79357-9_34
https://doi.org/10.1007/978-3-030-79357-9_34
Autor:
Ioan Marius Bilasco, Taner Danisman
Publikováno v:
Multimedia Tools and Applications
Multimedia Tools and Applications, 2016, 75 (13), pp.7799-7829. ⟨10.1007/s11042-015-2699-x⟩
Multimedia Tools and Applications, Springer Verlag, 2016, 75 (13), pp.7799-7829. ⟨10.1007/s11042-015-2699-x⟩
Multimedia Tools and Applications, 2016, 75 (13), pp.7799-7829. ⟨10.1007/s11042-015-2699-x⟩
Multimedia Tools and Applications, Springer Verlag, 2016, 75 (13), pp.7799-7829. ⟨10.1007/s11042-015-2699-x⟩
International audience; This paper addresses a fine in-plane (roll) face orientation estimation for a perspective face analysis algorithm that requires normalized frontal faces. As most of the face analysers (e.g., gender, expression, and recognition
Publikováno v:
Signal Processing
Signal Processing, 2013, Special issue on Machine Learning in Intelligent Image Processing, 93 (6), pp.1547-1556. ⟨10.1016/j.sigpro.2012.08.007⟩
Signal Processing, 2013, Special issue on Machine Learning in Intelligent Image Processing, 93 (6), pp.1547-1556. ⟨10.1016/j.sigpro.2012.08.007⟩
International audience; This paper presents an automatic way to discover pixels in a face image that improves the facial expression recognition results. Main contribution of our study is to provide a practical method to improve classification perform
Publikováno v:
International Conference on Computer Vision Theory and Applications (VISAPP)
International Conference on Computer Vision Theory and Applications (VISAPP), Feb 2016, Porto, Portugal
VISIGRAPP (4: VISAPP)
International Conference on Computer Vision Theory and Applications (VISAPP), Feb 2016, Porto, Portugal
VISIGRAPP (4: VISAPP)
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9f289807104d8d4658814b06262b0c5
https://hal.archives-ouvertes.fr/hal-01306038
https://hal.archives-ouvertes.fr/hal-01306038
Publikováno v:
ICMLA
Nowadays scientists are focusing on diagnosing certain eye diseases using image processing. Among these diseases, Adenoviral conjunctivitis is a key eye infection to be observed and diagnosed. In this paper, digital image processing (DIP) is applied
Publikováno v:
International Workshop on Content-Based Multimedia Indexing
International Workshop on Content-Based Multimedia Indexing, Jun 2015, Prague, Czech Republic. ⟨10.1109/CBMI.2015.7153635⟩
CBMI
International Workshop on Content-Based Multimedia Indexing, Jun 2015, Prague, Czech Republic. ⟨10.1109/CBMI.2015.7153635⟩
CBMI
International audience; Automatic landmark identification is one of the hot research topics in computer vision domain. Efficient and robust identification of landmark points is a challenging task, especially in a mobile context. This paper addresses
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a2ef9255c9d9e6bc0b1c0455a4f8d6b
https://hal.archives-ouvertes.fr/hal-01532834
https://hal.archives-ouvertes.fr/hal-01532834
Publikováno v:
Expert Systems with Applications
Expert Systems with Applications, 2015, 42 (5), pp.2772-2784. ⟨10.1016/j.eswa.2014.11.023⟩
Expert Systems with Applications, 2015, 42 (5), pp.2772-2784. ⟨10.1016/j.eswa.2014.11.023⟩
We used both inner and outer face cues.External cues improve classification performance for gender recognition.FIS framework improves classification results when combined with SVM.Unconstrained databases provide better results than that of constraine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c0c63705b545c4119d41a3222cd6d21
https://hal.science/hal-01111681/document
https://hal.science/hal-01111681/document
Publikováno v:
Spontaneous Facial Behavior Analysis-ECCV Workshop
Spontaneous Facial Behavior Analysis-ECCV Workshop, Sep 2014, Zurich, Switzerland
Computer Vision-ECCV 2014 Workshops ISBN: 9783319161778
ECCV Workshops (1)
Spontaneous Facial Behavior Analysis-ECCV Workshop, Sep 2014, Zurich, Switzerland
Computer Vision-ECCV 2014 Workshops ISBN: 9783319161778
ECCV Workshops (1)
International audience; In this paper, we report on user behaviors by analyzing visual clues while users are watching various TV broadcast in pilot settings. We detail the first results of the empathic analysis of viewers watching four distinct video
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3697f163ecbb19ad008b1f12fce1c711
https://hal.science/hal-01075087
https://hal.science/hal-01075087