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  1. 261
  2. 262

    Computer-assisted in between generation for cel animation by Chen, Quan

    Published 2008
    “…Our research is conducted in both image-based and vector-based areas. Our techniques improve the quality of inbetweens. …”
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    Thesis
  3. 263
  4. 264

    Review of compressed sensing in imaging : algorithms and applications by Raviselvam Sujithra

    Published 2013
    “…Compressed sensing is a fast growing field in signal and image processing. If x is a given vector which can either be an image or a signal about which we have a prior knowledge that it is sparse in either of the basis, then this signal x can be reconstructed from much lesser measurements than the number of measurements which usually is considered to be necessary to give proper reconstruction. …”
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    Thesis
  5. 265

    On a Chen–Fliess approximation for diffusion functionals by Litterer, C, Oberhauser, H

    Published 2014
    “…We then focus on stochastic differential equations and show that vector fields can be lifted to act as derivations on such functionals. …”
    Journal article
  6. 266

    Propagation models and measurements for microcellular communication systems by Tan, Soon Yim.

    Published 2009
    “…In an urban environment, a quasi-three-dimensional vector propagation model based on the uniform theory of diffraction (UTD) has been developed, using multiple-image theory and a ray launching technique to describe the multiple reflections and diffractions. …”
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    Thesis
  7. 267

    Video Google: a text retrieval approach to object matching in videos by Sivic, J, Zisserman, A

    Published 2003
    “…The analogy with text retrieval is in the implementation where matches on descriptors are pre-computed (using vector quantization), and inverted file systems and document rankings are used. …”
    Conference item
  8. 268
  9. 269

    Exploring the induction of preproinsulin-specific Foxp3+ CD4+ Treg cells that inhibit CD8+ T cell-mediated autoimmune diabetes by DNA vaccination by Stifter, Katja, Schuster, Cornelia, Schlosser, Michael, Boehm, Bernhard Otto, Schirmbeck, Reinhold

    Published 2016
    “…We have shown that the injection of preproinsulin (ppins)-expressing pCI/ppins vector into PD-1- or PD-L1-deficient mice induced K(b)/A12-21-monospecific CD8(+) T cells and autoimmune diabetes. …”
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    Journal Article
  10. 270

    Chemical identification using AI by Sua, Heng Hang

    Published 2020
    “…Various models such as Support Vector Machine (SVM) and Random Tree Classifier (RTC) were adopted and the accuracy of identification of pure chemicals and chemical mixtures are 93% and 70% respectively. …”
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    Final Year Project (FYP)
  11. 271

    Visual activity monitoring : assisted child-minding home camera surveillance system by Tan, Sophia Boon Fong.

    Published 2010
    “…Codebook method is used to learn the background for foreground detection and tracking is initialized for every new foreground object detected. Linear Support Vector Machine Model is used for activity recognition of these foreground objects. …”
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    Final Year Project (FYP)
  12. 272

    Labeling of names in the video stream by Li, Hui Ting.

    Published 2013
    “…In this project, two algorithms will be developed to label the names of the people appear in the video stream by using k-nearest neighbor algorithm and support vector machine (SVM) algorithm. Firstly, the training data sets of Jackie Chan and Non-Jackie Chan must be prepared. …”
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    Final Year Project (FYP)
  13. 273

    Segmentation of liver tumor from CT images by La, Cam Chung

    Published 2013
    “…This final year project aims to study characteristics of cancerous and healthy tissues in liver, which are later used by two algorithms, Support Vector Machine and Graph-cut, to do the liver tumor segmentation. …”
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    Final Year Project (FYP)
  14. 274

    Feature representation for large scale classification by Yang, Hao

    Published 2016
    “…Particularly, we propose linear regression support vector machine (LR-SVM) for bag-of-visual-words (BOV) data, feature pair selection (FPS) for data with multiplicative correlation between its features, and a multi-view multi-instance convolution neural network based system for raw image data with multiple objects. …”
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    Thesis
  15. 275

    Establishment and characterisation of CRTC1 knockout in rodent hippocampal neurons by Koh, Tyler Bo Kai

    Published 2017
    “…Our lentiviral vectors efficiently knockouts CRTC1 expression in primary hippocampal cultures while results are pending for in vivo microinjections of the virus. …”
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    Final Year Project (FYP)
  16. 276

    Development of a system to detect hidden information in a document using steganography software by Wuan, Neng Jie

    Published 2018
    “…The accuracy of detection depends on the trained Support Vector Machine (SVM) model used, and therefore, accuracy hinges on the type of training data and test images used. …”
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    Final Year Project (FYP)
  17. 277

    Exploring the dynamics of gene drive mosquitoes within wild populations using an agent-based simulation by Wickramasooriya, S, Mahmood, I, Calinescu, A, Wooldridge, M, Lanzaro, G

    Published 2024
    “…This research is instrumental in understanding GEM potential in controlling malaria vectors.…”
    Conference item
  18. 278

    Twisted formalism for 3d N=4 theories by Garner, N

    Published 2024
    “…We describe the topological A and B twists of 3d ${\mathcal {N}}=4$ theories of hypermultiplets gauged by ${\mathcal {N}}=4$ vector multiplets as certain deformations of the holomorphic–topological (HT) twist of those theories, utilizing the twisted superfields of Aganagic–Costello–Vafa–McNamara describing HT-twisted 3d ${\mathcal {N}}=2$ theories. …”
    Journal article
  19. 279

    Illuminance flow estimation by regression by Karlsson, SM, Pont, SC, Koenderink, JJ, Zisserman, A

    Published 2010
    “…In a regression setting, we found for both ridge regression and support vector machines, that the optimal solution shows close resemblance to the gradient based structure tensor (also known as the second moment matrix).…”
    Journal article
  20. 280

    Effect of geometric scaling on the microstructural development of selective laser melted metal parts by Ng, Angelin Shia Yin

    Published 2022
    “…This study discusses the effect of geometric scaling, delay time (i.e., the time it takes for the laser beam to jump from one scan vector to the adjacent scan vector, which is controlled by the jump speed), gas flow, and defocusing distance on microstructural development and mechanical properties of selective laser melted 316L stainless steel. 316L stainless steel has been used in various industries such as aerospace and petrochemical industries due to its superior properties such as very good corrosion resistance. …”
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    Final Year Project (FYP)