Comparison of character recognition performance - bayes classifier and neural network methods by Low, Siew Eng.

“…In this project, two learning schemes had been tested and verified, in the recognition unit within the image processing environment of the Machine Vision Tool, namely the Bayes classifier method and the neural network-error back propagation gradient descent learning method. …”
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Numerical and Analytical Methods in Low-Dimensional Strongly Correlated Quantum Systems by Peng, Changnan

“…The study of low-dimensional strongly correlated quantum systems lies at the intersection of intricate theoretical models and practical numerical methods, offering deep insights into condensed matter physics. …”
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4.661 Theory and Method in the Study of Architecture and Art, Fall 2002 by Jones, Caroline

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A Mixed-Methods Research Design to Advance Inclusive and Equitable Teaching by Soicher, Raechel N., Baker, Amanda R., Thomas, Ruthann C.

“…We developed an innovative framework and mixed methods research design to systematically assess inclusive and equitable teaching at the student, course, department, and institution levels. …”
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Determination of soil-water characteristics curves of sands using the evaporation method by On, Roger Zhi Wei

“…Commercial equipment such as the HYPROP 2 by Meter Group AG has been developed to expedite the experimental process of obtaining the SWCC of soils from 0 to 200 kPa suction using the evaporation method but is very costly. Moreover, such commercial equipment requires a steep learning curve and proper training to use them effectively. …”
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Elucidating the mechanism of mRNA transport using novel imaging technologies by Stoychev, D

“…I begin to fill this technological gap by assessing and applying state-of-the-art methods from the fields of microscopy and image processing. …”

15.093 / 2.098 Optimization Methods (SMA 5213), Fall 2004 by Bertsimas, Dimitris

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Active learning with applications in biomedical document annotation by Han, Xu

“…We also apply our active learning method for the task of named entity recognition. …”
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Machine learning based retinal vessel detection by Li, Hongru

“…In this dissertation, We adopted the traditional CV method based on 2D-matched Filter and deep learning U-NET method, and achieved good segmentation effect. …”
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Image artefact removal using deep learning by Sanchari, Das

“…The results are then compared to non-deep learning approaches, SSRQC method and Bilateral filtering, in order to see the differences in performance…”
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Learning epipolar geometry from image sequences by Wexler, Y, Fitzgibbon, AW, Zisserman, A

Layer-wise learning framework for deep networks by Yu, Haoyao

“…The case examples demonstrate a rational compromise regarding layer-wise trainability and precision while validating the applicability of the proposed layer-wise learning method to determine the optimal number of layers for real-world scenarios.…”
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Deep learning for anomaly detection in computational imaging by Du, Xinglin

“…For supervised method, three methods are used: multilayer perceptron, convolutional neural network and transfer learning. …”
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Development of a learning system for robot control by Tan, Chee Wee

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Case-based reasoning library for flexible learning by Zhang, Chuan Yu

“…Case-based reasoning can be applied in learning contexts through the collection, building, and indexing of case libraries. …”
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Enhanced extreme learning machines for image classification by Cui, Dongshun

“…Among numerous machine learning methods, we choose the Extreme Learning Machine (ELM) for our image classification applications. …”
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Multi-class classification using deep learning by Cao, Haozhi

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Multi-Agent Reinforcement Learning for Autonomous Robotics by Vincent, Caroline R.

“…The findings demonstrate the potential of MARL to achieve high accuracy in navigating these different environments, highlighting the method's flexibility and adaptability across diverse settings and the resulting implications for applying MARL to real-world scenarios.…”
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Towards ILP-based LTLf passive learning by Ielo, A, Law, M, Fionda, V, Ricca, F, De Giacomo, G, De Giacomo, G, Russo, A

“…Inferring a LTL_f formula from a set of example traces, also known as passive learning, is a challenging task for model-based techniques. …”

Structured sparse representations for supervised and unsupervised learning by Zeng, Yijie

“…Specifically, a slice-based online convolutional dictionary learning (SOCDL) method is proposed for unsupervised image processing tasks such as image reconstruction and inpainting. …”
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