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    AuthorBansal, Sumukh (1)Prakash, Chandra (1)Sujata (1)Subject1D Taylor expansion (1)2D Taylor expansion (1)CNN (1)Dimensionality reduction (1)DNN (1)e-PCA (1)Facial expression recognition (1)HOG (1)HSOG (1)K-NN (1)... View MoreDate Issued
    2020 (3)
    Has File(s)Yes (3)

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    Facial expression recognition: feature based approaches to deep learning techniques 

    Sujata (Dhirubhai Ambani Institute of Information and Communication Technology, 2020)
    Facial expression recognition (FER) is a problem of pattern recognition that invites the attention of computer vision researchers for the last three decades. However, the problem is still alive due to challenges such as - ...
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    Compressive sampling architecture for wideband communication 

    Prakash, Chandra (Dhirubhai Ambani Institute of Information and Communication Technology, 2020)
    This dissertation proposes a novel Compressive Sampling (CS) scheme for Sub-Nyquist Spectrum Sensing (SNSS) of spectrally sparse wideband signals. A novelty of our proposed SNSS scheme resides in the analog front-end. We ...
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    3D shape deformations : a lie group based approach 

    Bansal, Sumukh (Dhirubhai Ambani Institute of Information and Communication Technology, 2020)
    3D shapes are ubiquitous in many fundamental tasks of computer graphics and geometry processing. For many applications, new shapes have to be generated from the existing ones, for which it it imperative to understand and ...

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