The effect of nanoparticles in the augmentation of cooling tower heat dissipation / by Aravinthan Rajaandran, 1985-, author 613249, Nor Azwadi Che Sidik, 1977-, supervisor 612329, Fakulti Kejuruteraan Mekanikal 8081

Unsupervised multi-texture image segmentation by Neena Mittal

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Semantic segmentation with less annotation efforts by Zhang, Tianyi

“…Semantic segmentation is a pixel-wise classification task, which is to predict class label to every pixel within an image. …”
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Incremental learning technologies for semantic segmentation by Yang, Yizhuo

“…Semantic segmentation models based on deep learning technologies have achieved remarkable results in recent years. …”
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Chinese text segmentation for information retrieval by Li, Hui

“…Despite a host of word segmentation approaches and Chinese information systems that exist today, little work has been done to co-relate segmentation performance and IR effectiveness. …”
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Evaluation of watershed transform in image segmentation by Min Min Thein.

“…This dissertation develops the practical image processing toolbox, and related computer programs for the evaluation of watershed transform in image segmentation.…”
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Search by image : clothing segmentation and retrieval by Shi, Ganyu

“…We divide our system into two main stages: 1) Segmentation: We segment the query image into individual clothing classes, and use them as regions of interest for subsequent retrieval. 2) Retrieval: For each of the clothing item, we use image retrieval techniques to fetch visually similar products. …”
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Delving deeper into the whorl of flower segmentation by Nilsback, M, Zisserman, A

“…Performance is assessed against ground truth trimap segmentations. The algorithms is also compared to several previous approaches for flower segmentation.…”

An object category specific mrf for segmentation by Kumar, MP, Torr, PHS, Zisserman, A

“…In this chapter we present a principled Bayesian method for detecting and segmenting instances of a particular object category within an image, providing a coherent methodology for combining top down and bottom up cues. …”

Image segmentation with minimal human supervision by Shin, G

Subjects:

Learning segmentation from point trajectories by Karazija, L, Laina, I, Rupprecht, C, Vedaldi, A

“…<p>We consider the problem of segmenting objects in videos based on their motion and no other forms of supervision. …”

Generative dialogue augmented with heterogeneous external knowledge / by Yao, Yibo, 1991-, author 656079, Azlan Mohd. Zain, supervisor 513497, Fakulti Komputeran 538688

Augmented EMD for complex-valued univariate signals by Oh, Beom-Seok, Zhuang, Huiping, Toh, Kar-Ann, Lin, Zhiping

“…The key idea of the extension is to convert a complex-valued univariate signal into a longer real-valued signal by augmenting the real part with the flipped imaginary part, and then to decompose it into intrinsic mode functions (IMFs) using the EMD once only. …”
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Using artificial intelligence to augment bug fuzzing by Tay, Zhixuan

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‘Token’ augmented reality visual effects film by Koh, Iris Xuan En

“…‘Token’ is a 4 minutes live-action with augmented reality visual effects film, exploring the techniques of green screen shooting and keying, 2D and 3D compositing, particle simulation, and 2D and 3D animation. …”
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The design and implementation of games based on augmented reality by Bai, Xin

“…Augmented Reality is one of the most attractive technologies in the modern era which allows people to see virtual patterns in real-time scenery. …”
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Augmentable : seamless table-top projection interface by Goh, Chong Yang

“…Augmentable is a seamless human-computer interface that augments the physical workspace with interactive digital information. …”
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Deep learning-based text augmentation for named entity recognition by Surana, Tanmay

“…This thesis is focused on the development of an effective text augmentation method for Named Entity Recognition (NER) in the low-resource setting. …”
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Superaugmentation and stability augmentation control system for unmanned aerial vehicle by Yasser Abdullah Mahjoub Nogoud

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Digital Anatomy : Applications of Virtual, Mixed and Augmented Reality / by Uhl, Jean-François, editor 643187, Jorge, J. A. (Joaquim Armando), editor 643188, Lopes, Daniel Simões, editor 643190, Campos, Pedro F., editor 643191

“…Recent studies show that Virtual (VR), Augmented (AR), and Mixed-Reality (MR) can improve both retention and learning outcomes. …”