Results 61 to 70 of about 601,753 (327)
Semi-Supervised Deep Learning for Fully Convolutional Networks
, 2017 Deep learning usually requires large amounts of labeled training data, but annotating data is costly and tedious. The framework of semi-supervised learning provides the means to use both labeled data and arbitrary amounts of unlabeled data for training ...
D García-Lorenzo +4 more
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A discriminative model for semi-supervised learning [PDF]
Journal of the ACM, 2010 Supervised learning—that is, learning from labeled examples—is an area of Machine Learning that has reached substantial maturity. It has generated general-purpose and practically successful algorithms and the foundations are quite well understood and captured by theoretical frameworks such as the PAC-learning model and the Statistical ...
Avrim Blum, Maria-Florina Balcan
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AlgorithmsPredicting the energy consumption of buildings plays a critical role in supporting utility providers, users, and facility managers in minimizing energy waste and optimizing operational efficiency. However, this prediction becomes difficult because of the
Sami Kabir +2 more
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Semi‐supervised learning dehazing algorithm based on the OSV model
IET Image Processing, 2023 Despite the great progress that has been made in the task of single image dehazing, the results of the existing models in restoring image edge and texture information are still challenging.
Lijun Zhu +5 more
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Weakly Semi Supervised learning based Mixture Model With Two-Level Constraints
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2021 We propose a new weakly supervised approach for classification and clustering based on mixture models. Our approach integrates multi-level pairwise group and class constraints between samples to learn the underlying group structure of the data and ...
Adama Nouboukpo, Mohand Saïd Allili
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Fractional graph-based semi-supervised learning [PDF]
2017 25th European Signal Processing Conference (EUSIPCO), 2017 Publication in the conference proceedings of EUSIPCO, Kos island, Greece ...
de Nigris, Sarah +4 more
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Full body virtual try‐on with semi‐self‐supervised learning
Electronics Letters, 2021 This paper proposes a full body virtual try‐on which handles both top and bottom garments and generates realistic try‐on images. For the full body virtual try‐on, this paper addresses lack of suitable training data to align and fit top and bottom ...
Hyug‐Jae Lee +5 more
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Learning From Labeled And Unlabeled Data: An Empirical Study Across Techniques And Domains
, 2011 There has been increased interest in devising learning techniques that combine unlabeled data with labeled data ? i.e. semi-supervised learning. However, to the best of our knowledge, no study has been performed across various techniques and different ...
Chawla, N. V., Karakoulas, Grigoris
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A Survey On Semi-Supervised Learning Techniques [PDF]
International Journal of Computer Trends and Technology, 2014 5 Pages, 3 figures, Published with International Journal of Computer Trends and Technology (IJCTT)
V. Jothi Prakash, L. M. Nithya
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Cardiac Imaging with Electrical Impedance Tomography (EIT) using Multilayer Perceptron Network
Jurnal Elektronika dan TelekomunikasiThis research explores the enhancement of Electrical Impedance Tomography (EIT) for cardiac imaging using Multilayer Perceptron (MLP) networks, focusing on supervised and semi-supervised learning approaches.
Amelia Putri Ristyawardani +6 more
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