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ELCVIA Encontrados 3 registros  La búsqueda tardó 0.00 segundos. 
1.
16 p, 2.3 MB A critical appraisal on wavelet based features from brain MR images for efficient characterization of ischemic stroke injuries / Karthik, R. (VIT University (Chennai, Índia)) ; Menaka, R. (VIT University (Chennai, Índia))
Ischemic stroke is a severe neuro disorder typically characterized by a block inside a blood vessel supplying blood to the brain. It remains the third leading cause for death, after heart attack and cancer. [...]
2016 - 10.5565/rev/elcvia.804
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 15 Núm. 3 (2016) , p. 1-16 (Regular Issue)  
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2.
15 p, 1.4 MB A block-based background model for moving object detection / Elharrouss, Omar (University of Sidi Mohamed Ben Abdellah (Fez, Marroc). Department of Informatics) ; Abbad, Abdelghafour (University of Sidi Mohamed Ben Abdellah (Fez, Marroc). Department of Informatics) ; Moujahid, Driss (University of Sidi Mohamed Ben Abdellah (Fez, Marroc). Department of Informatics) ; Riffi, Jamal (University of Sidi Mohamed Ben Abdellah (Fez, Marroc). Department of Informatics) ; Tairi, Hamid (University of Sidi Mohamed Ben Abdellah (Fez, Marroc). Department of Informatics)
Detecting the moving objects in a video sequence using a stationary camera is an important task for many computer vision applications. This paper proposes a background subtraction approach. As first step, the background is initialized using the block-based analysis before being updated in each incoming frame. [...]
2016 - 10.5565/rev/elcvia.855
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 15 Núm. 3 (2016) , p. 17-31 (Regular Issue)  
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3.
16 p, 746.4 KB Design and Stability Analysis of Multi-Objective Ensemble Classifiers / Pourtaheri, Zeinab Khatoun (University of Birjand (Birjand, Iran). Department of Electrical and Computer Engineering) ; Zahiri, Seyed Hamid (University of Birjand (Birjand, Iran). Department of Electrical and Computer Engineering) ; Razavi, Seyed Mohammad (University of Birjand (Birjand, Iran). Department of Electrical and Computer Engineering)
In this paper a novel multi-objective optimization technique based on Inclined Planes Optimization algorithm (called MOIPO), is used to design an ensemble classifier. Diversity, ensemble size, and error rate are three objectives which are considered along designing the proposed ensemble classifier. [...]
2016 - 10.5565/rev/elcvia.929
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 15 Núm. 3 (2016) , p. 32-47 (Regular Issue)  
Registro completo - Creative Commons

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