Results 31 to 40 of about 12,320 (267)

Binarized Support Vector Machines [PDF]

open access: yesINFORMS Journal on Computing, 2010
The widely used support vector machine (SVM) method has shown to yield very good results in supervised classification problems. Other methods such as classification trees have become more popular among practitioners than SVM thanks to their interpretability, which is an important issue in data mining.In this work, we propose an SVM-based method that ...
Emilio Carrizosa   +2 more
openaire   +9 more sources

The impact of different thresholds on optical coherence tomography angiography images binarization and quantitative metrics

open access: yesScientific Reports, 2021
Optical coherence tomography angiography (OCTA) provides several data regarding the status of retinal capillaries. This information can be further enlarged by employing quantitative metrics, such as vessel density (VD).
Alessandro Arrigo   +5 more
doaj   +1 more source

A Novel Feature Extraction Technique Using Binarization of Bit Planes for Content Based Image Classification

open access: yesJournal of Engineering, 2014
A number of techniques have been proposed earlier for feature extraction using image binarization. Efficiency of the techniques was dependent on proper threshold selection for the binarization method.
Sudeep Thepade, Rik Das, Saurav Ghosh
doaj   +1 more source

A SIMPLE NOVEL EFFECTIVE APPROACH TO DETECT CHARACTERS IN SCENE IMAGES [PDF]

open access: yesAssiut University Journal of Multidisciplinary Scientific Research, 2018
In this paper, we adopt a new local binarization method as an important stage in text detection problem in scene image. Then we compare this new binarization method with our previous proposed binarization method which depends on using the Naïve Bayes ...
doaj   +1 more source

Vibration intensity estimation based on image analysis of a round test object with vibration blur

open access: yesИзвестия высших учебных заведений. Поволжский регион:Технические науки, 2022
Background. The vibration signal carries a lot of information about the state and internal structure of both the source and the receiver of this signal.
A.V. Grigor'ev
doaj   +1 more source

Efficient multiscale Sauvola’s binarization [PDF]

open access: yesInternational Journal on Document Analysis and Recognition (IJDAR), 2013
This work focuses on the most commonly used binarization method: Sauvola's. It performs relatively well on classical documents, however, three main defects remain: the window parameter of Sauvola's formula does not fit automatically to the contents, it is not robust to low contrasts, and it is not invariant with respect to contrast inversion.
Guillaume Lazzara, Thierry Géraud
openaire   +3 more sources

ON THE AGE AND BINARITY OF FOMALHAUT [PDF]

open access: yesThe Astrophysical Journal, 2012
The nearby (d = 7.7 pc) A3V star Fomalhaut is orbited by a resolved dusty debris disk and a controversial candidate extrasolar planet. The commonly cited age for the system (200+-100 Myr) from Barrado y Navascues et al. (1997) relied on a combination of isochronal age plus youth indicators for the K4V common proper motion system TW PsA.
openaire   +2 more sources

Training Multi-Bit Quantized and Binarized Networks with a Learnable Symmetric Quantizer

open access: yesIEEE Access, 2021
Quantizing weights and activations of deep neural networks is essential for deploying them in resource-constrained devices, or cloud platforms for at-scale services.
Phuoc Pham   +2 more
doaj   +1 more source

Self-Binarizing Networks

open access: yesCoRR, 2019
9 pages, 5 ...
Fayez Lahoud   +3 more
openaire   +2 more sources

OBJECT STRUCTURE EFFECT ON OPTIMAL LEVELS OF HOLOGRAM BINA-RIZATION IN TERMS OF RECONSTRUCTED IMAGE QUALITY [PDF]

open access: yesНаучно-технический вестник информационных технологий, механики и оптики, 2018
Subject of Research. The paper presents research results on object structure effect, that is the type and size of its elements, on optimal level of computer generated Fresnel holograms binarization in terms of reconstructed image quality. Method.
S. N. Koreshev, S. O. Starovoitov
doaj   +1 more source

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