Training deep network models for accurate recognition of texts in scenes by Chen, Cheng

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Designing a brain-computer interface platform for attention training by B Thirukarthik

“…In this study, we will be looking into a new platform to aid in training the attention span of the regular persons. …”
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Effective image synthesis for effective deep neural network training by Cui, Kaiwen

“…We propose a novel Generative Co-training (GenCo) network that adapts the co-training idea into data-limited generation for tackling its inherent over-fitting issue. …”
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The rates of return to education and effectiveness of training programmes for Singaporean workers by Ho Yuet Yen

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Measuring the quality of online professional service : the case of education and training. by Lu, Ai Ai.

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Dictionary training for sparse representation as generalization of K-means clustering by Sahoo, Sujit Kumar, Makur, Anamitra

“…Recent dictionary training algorithms for sparse representation like K-SVD, MOD, and their variation are reminiscent of K-means clustering, and this letter investigates such algorithms from that viewpoint. …”
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Global convergence of online BP training with dynamic learning rate by Zhang, Rui, Xu, Zong-Ben, Huang, Guang-Bin, Wang, Dianhui

“…The online backpropagation (BP) training procedure has been extensively explored in scientific research and engineering applications. …”
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The training intensity distribution of marathon runners across performance levels by Muniz-Pumares, Daniel, Hunter, Ben, Meyler, Samuel, Maunder, Ed, Smyth, Barry

“…Background: The training characteristics and training intensity distribution (TID) of elite athletes have been extensively studied, but a comprehensive analysis of the TID across runners from different performance levels is lacking. …”
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The Powerful of Training; Development and Compensation; Rewards in Sustaining SME’s Performance by Mansor, Mohd Fitri, Abu, Noor Hidayah, Nasir, Hussen

“…The aim of the study is to examine the powerful of both Human Resource practices (i.e. Training & Development and Compensation & Rewards) towards sustaining Small Medium Enterprise’s (SME’s) performance. …”
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Study: Transparency is Often Lacking in Datasets Used to Train Large Language Models by Zewe, Adam

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Battery plug-in electric vehicle concept design : (motor-drive train and batterypack) by Liong, Farandy Angesti.

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Online optimisation of the CLIC drive beam bunch train recombination at CTF3 by Gamba, D

The influence of common European framework of reference (CEFR) challenges on transfer of training / by Magesvary Pugalaredran, 1989-, author 655538

The influence of common European framework of reference (CEFR) challenges on transfer of training / by Magesvary Pugalaredran, 1989-, author 655538, Nurul Farhana Mohd Noordin, supervisor 511201, Fakulti Sains Sosial dan Kemanusiaan. Sekolah Pembangunan Sumber Manusia dan Psikologi 619084

Proposing an instructional system design model for a railway track training by Low, Khai Chong.

“…This project aims to document the training process for railway staff working on the track for a new mass rapid transit organization. …”
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Training deep network models for accurate recognition of texts in scene images by Chen, Pengfei

“…In this FYP, the state of art deep learning models for text recognition, CRNN and ASTER, will be implemented and trained. For optimal performance, multiple hyperparameter will be tuned. …”
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Speeding up deep neural network training with decoupled and analytic learning by Zhuang, Huiping

“…Training deep neural networks usually demands a significantly long period of time. …”
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Principled asymmetric boosting approaches to rapid training and classification in face detection by Pham, Minh Tri

“…The bottleneck is in the training of a weak classifier, currently in the order of minutes. …”
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Training deep network models for accurate recognition of texts in scene images by Zhang, Weilun

“…As part of this work, CRNN, one of the most extensively used state-of-the-art deep learning models for text recognition, will be implemented and trained. A number of hyperparameters will be tweaked to obtain optimum performance. …”
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Towards optimal scheduling of deep learning training jobs in GPU clusters by Gao, Wei

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