Machine learning enabled multivariate analysis of neuroimages by Chen, Dawen

“…This project also aimed to implement and conduct various multi-variant and machine learning methodologies on fMRI scans in order to investigate analysis methods of neuroimages. …”
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Learning hierarchical review graph representations for recommendation by Liu, Yong, Yang, Susen, Zhang, Yinan, Miao, Chunyan, Nie, Zaiqing, Zhang, Juyong

“…Previous review-based recommendation methods usually employ sophisticated compositional models, such as Recurrent Neural Networks (RNN) and Convolutional Neural Networks (CNN), to learn semantic representations from the review data for recommendation. …”
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Development of a learning system for robot control by Leong, Marcus Khee Ing

“…This project aims to develop a learning algorithm that can learn the Jacobian matrix of the robot with the use of neural network and control the end-effector to follow a predefined trajectory without modelling the robot kinematics. …”
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Synthesizing photorealistic images with deep generative learning by Zheng, Chuanxia

“…Extensive experiments demonstrate superior performance compared to previous CNN-based methods on several datasets. Part 3 combines recognitive learning and the latest generative modeling into a holistic scene decomposition and completion framework, where a network is trained to decompose a scene into individual objects, infer their underlying occlusion relationships, and moreover imagine what the originally occluded objects may look like, while using only a single image as input. …”
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Elementwise overparameterisation for single and multi-task learning by Ribli, Vincent

“…To solve such an issue, methods such as overparameterisation, along with multi-task learning, have been proposed. …”
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Support app UI development with deep learning by Chow, Bernard Wei Jun

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Efficient HIK SVM learning for image classification by Wu, Jianxin

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Quantum photonic sensors array with machine learning by Ho, Ping-Chien

“…DQS-CV protocol can also be used to help improve machine learning which is called the supervised learning assisted by and entangled sensor network(SLAEN).SLAEN converge in less step compared to the conventional algorithm and can find better hyperplanes. …”
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Differentiable Vector Graphics Rasterization for Editing and Learning by Li, Tzu-Mao, Lukac, Mike, Gharbi, Michael, Ragan-Kelley, Jonathan

“…We introduce a differentiable rasterizer that bridges the vector graphics and raster image domains, enabling powerful raster-based loss functions, optimization procedures, and machine learning techniques to edit and generate vector content. …”
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Unsupervised Learning for Generative Scene Editing and Motion by Fang, David S.

“…Unsupervised learning for images and videos is important for many applications in computer vision. …”
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Object recognition using deep learning features by Zhu, Daiqing

“…This project labels the elements of an image into plausible object regions and provide a label for each object without knowing a-prior which objects are present in that image. Our methods extract features from an annotated image dataset and transform the features into hash code. …”
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Vehicle re-identification using machine learning by Tang, Lisha

“…Experimental results show that our approach outperforms recent state-of-the-art methods by averagely 2.63% in CMC@1 on VehicleID and 2.2% in mAP on VeRi776.…”
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Intelligent diagnostic feedback in virtual learning environment by Guo, Ruisheng

“…This research compares and contrasts several methods in order to investigate the effective use of intelligent feedback towards modelling the stages of students’learning. …”
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ELM embedded discriminative dictionary learning for image classification by Zeng, Yijie, Li, Yue, Chen, Jichao, Jia, Xiaofan, Huang, Guang-Bin

“…Results show that our approach achieves state-of-the-art performance compared to other dictionary learning methods.…”
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Cross-Modal Deep Variational Hashing by Liong, Venice Erin, Lu, Jiwen, Zhou, Jie, Tan, Yap Peng

“…In this paper, we propose a cross-modal deep variational hashing (CMDVH) method to learn compact binary codes for cross-modality multimedia retrieval. …”
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Dynamically growing neural network architecture for lifelong deep learning on the edge by Piyasena, Duvindu, Thathsara, Miyuru, Kanagarajah, Sathursan, Lam,Siew-Kei, Wu, Meiqing

“…This ability is commonly referred to as lifelong learning. In this paper, we address the performance and resource challenges for realizing lifelong learning on edge devices. …”
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Feature selection methods for effective diagnosis of rotavirus infection: a comparative evaluation by Chau, V, Ngoc, DTT, My, PT, Baker, S, Pham, D, Rabaa, M, Le Thi, N

“…The study found that wrapper and embedding approaches outperform filter methods, notably for the Logistic Regression (LR) and Support Vector Machine (SVM) models, employing two machine learning models and the AUC measure. …”

Diagrammatic Representation and Inference : 12th International Conference, Diagrams 2021, Virtual, September 28-30, 2021, Proceedings / by Diagrams (Conference) (12th : 2021 : Online) 643173, Basu, Amrita, 1953-, editor 643175, Stapleton, Gem, editor 643176, Linker, Sven, editor 643177, Legg, Catherine, editor 643178, Manalo, Emmanuel, editor 643179, Viana, Petrucio, editor 643180

Content-based image retrieval with statistical machine learning. by Zhang, Lining.

“…In this thesis, we mainly focus on applying statistical machine learning techniques to maximize the potential of conventional RF methods to significantly improve the performance of CBIR. …”
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Extreme learning machine for classification and clustering on multiview data by Chen, Jichao

“…An empirical study on several multiview datasets shows that the proposed DFAN method surpasses the state-of-the-art multiview spectral clustering methods. …”
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