Results 1 to 10 of about 176,088 (175)
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012 This paper proposes to apply the nonlocal principle to general alpha matting for the simultaneous extraction of multiple image layers; each layer may have disjoint as well as coherent segments typical of foreground mattes in natural image matting. The estimated alphas also satisfy the summation constraint.
Chen, Qifeng +2 more
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Weighted Multiclass Intrusion Detection System [PDF]
ITM Web of Conferences, 2023 Attackers are continuously coming up with new attack strategies since cyber security is a field that is continually changing. As a result, it’s important to update and enhance the system frequently to ensure its efficiency against fresh threats ...
Dange Varsha +5 more
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Performance Analysis of Machine Learning Algorithms in Intrusion Detection Systems
Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2021 With the developing technology, the need for the dissemination and protection of information is becoming increasingly important. Recently, attacks on information systems have increased significantly.
Fethi Mustafa Çimen +2 more
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Classification of Chronic Kidney Disease Patients via k-important Neighbors in High Dimensional Metabolomics Dataset [PDF]
Journal of Kerman University of Medical Sciences, 2019 Background: Chronic kidney disease (CKD), characterized by progressive loss of renal function, is becoming a growing problem in the general population. New analytical technologies such as “omics”-based approaches, including metabolomics, provide a useful
Hadi Raeisi shahraki +2 more
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KNN-Based Algorithm of Hard Case Detection in Datasets for Classification
Proceedings of the International Conference on Applied Innovations in IT, 2023 The machine learning models for classification are designed to find the best way to separate two or more classes. In case of class overlapping, there is no possible way to clearly separate such data.
Anton Okhrimenko, Nataliia Kussul
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kNN-STUFF: kNN STreaming Unit for Fpgas [PDF]
IEEE Access, 2019 This paper presents kNN STreaming Unit For Fpgas (kNN-STUFF), a modular, scalable and efficient Hardware/Software implementation of k-Nearest Neighbors (kNN) classifier targeting System on Chip (SoC) devices. It takes advantage of custom accelerators, implemented on the reconfigurable fabric of the SoC device, to perform most of the classifier's ...
Joao Vieira +2 more
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Prediction Vulnerability Level of Dengue Fever Using KNN and Random Forest
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2020 Indonesia is a country that is prone to Dengue Fever, this happens because Indonesia is a country with a tropical climate. More than 50 years after Indonesia contracted the dengue virus, dengue fever cases have not been resolved, currently the cases that
Abduh Salam +2 more
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Comparative Analysis of GMM, KNN, and ViBe Background Subtraction Algorithms Applied in Dynamic Background Scenes of Video Surveillance System [PDF]
Engineering and Technology Journal, 2022 Background subtraction is the most prominent technique applied in the domain of detecting moving objects. However, there is a wide range of different background subtraction models.
Maryam Yasir, Yossra Ali
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Jurnal Teknologi dan Sistem Komputer, 2020 Keberadaan outlier pada dataset dapat menyebabkan rendahnya hasil akurasi pada proses klasifikasi. Outlier pada dataset dapat dihilangkan pada tahapan prapemrosesan algoritme klasifikasi.
Sugriyono Sugriyono, Maria Ulfah Siregar
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Klasifikasi Kualitas Pisang Ambon Menggunakan Metode K-Nearest Neighbor
Jurnal Sarjana Teknik Informatika, 2022 Pisang merupakan jenis buah-buahan yang banyak ditemukan di Indonesia. Pengklasifikasian kematangan buah pisang menggunakan cara nondestruktif dilakukandengan melihat warna dan tekstur kulit pisang yang merupakan komponen eksternal dari buah pisang tanpa
Gading Surya Lesmana, Murinto Kusno
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