Results 11 to 20 of about 5,782,720 (331)
Generalized Maximum Entropy for Supervised Classification [PDF]
IEEE Transactions on Information Theory, 2020 The maximum entropy principle advocates to evaluate events’ probabilities using a distribution that maximizes entropy among those that satisfy certain expectations’ constraints.
S. Mazuelas, Yuan Shen, Aritz Pérez
semanticscholar +8 more sources
Mixed-Supervised Learning for Cell Classification
SensorsCell classification based on histopathology images is crucial for tumor recognition and cancer diagnosis. Using deep learning, classification accuracy is hugely improved.
Hao Sun, Danqi Guo, Zhao Chen
doaj +2 more sources
Supervised Classification Of induction Motors faults [PDF]
E3S Web of Conferences, 2022 Currently, the environmental challenges have been considered as a strategic issue for most industrial companies around the world, threatening their sustainability and profit; This leads to taking the environmental dimensions seriously and preserving ...
El bouisfi Radouane +2 more
doaj +1 more source
A Review of Supervised Classification based on Contrast Patterns: Applications, Trends, and Challenges [PDF]
Journal of Grid Computing, 2020 Kim-Kwang Raymond Choo +2 more
exaly +2 more sources
Land Cover Changes Based on Landsat Imagery Interpretation
Jurnal Teknik Pertanian Lampung, 2023 This paper presents the use of satellite data (i.e., Landsat-5 & Landsat-8) to interpret the change of land cover from 1997 to 2020. The study area covers the administrative boundary of Lumajang Regency.
Chairiyah Umi Rahayu +4 more
doaj +1 more source
ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases [PDF]
Computer Vision and Pattern Recognition, 2017 The chest X-ray is one of the most commonly accessible radiological examinations for screening and diagnosis of many lung diseases. A tremendous number of X-ray imaging studies accompanied by radiological reports are accumulated and stored in many modern
Xiaosong Wang +5 more
semanticscholar +1 more source
npj Digit. Medicine, 2023 Advancements in deep learning and computer vision provide promising solutions for medical image analysis, potentially improving healthcare and patient outcomes.
Shih-Cheng Huang +5 more
semanticscholar +1 more source
Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning [PDF]
Computer Vision and Pattern Recognition, 2020 We address the challenging problem of whole slide image (WSI) classification. WSIs have very high resolutions and usually lack localized annotations.
Bin Li, Yin Li, K. Eliceiri
semanticscholar +1 more source
Self-Supervised Contrastive Representation Learning for Semi-Supervised Time-Series Classification [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Learning time-series representations when only unlabeled data or few labeled samples are available can be a challenging task. Recently, contrastive self-supervised learning has shown great improvement in extracting useful representations from unlabeled ...
Emadeldeen Eldele +6 more
semanticscholar +1 more source