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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.
Qifeng Chen 0001 +2 more
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knn-seq: Efficient, Extensible kNN-MT Framework
CoRR, 2023 k-nearest-neighbor machine translation (kNN-MT) boosts the translation quality of a pre-trained neural machine translation (NMT) model by utilizing translation examples during decoding. Translation examples are stored in a vector database, called a datastore, which contains one entry for each target token from the parallel data it is made from.
Hiroyuki Deguchi 0002 +5 more
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Challenges in KNN Classification [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2022 The KNN algorithm is one of the most popular data mining algorithms. It has been widely and successfully applied to data analysis applications across a variety of research topics in computer science. This paper illustrates that, despite its success, there remain many challenges in KNN classification, including K computation, nearest neighbor selection,
Shichao Zhang
exaly +2 more sources
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
doaj +1 more source
Minimum-Norm Adversarial Examples on KNN and KNN based Models [PDF]
2020 IEEE Security and Privacy Workshops (SPW), 2020 3rd Deep Learning and Security Workshop (co-located with the 41st IEEE Symposium on Security and Privacy)
Chawin Sitawarin, David A. Wagner 0001
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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-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 ...
João Vieira +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
doaj +1 more source
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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