Computational Politics refers to the application of Information Technologies (IT), including Data Analytics, Artificial Intelligence (AI), and Systems Theory (Cybernetics) in the realm of politics and Political Science. It’s an emerging and somewhat loosely defined field that intersects Political Science and Computer Science and Engineering. This lecture provides an overview of Computational Politics, encompassing various… Continue reading e-Symposium 2023: AI and Computational Politics
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Neural Image Compression
This lecture overviews Neural Image Compression that has many applications in image storage and communications. It covers the following topics in detail: Image Compression Types, Image Compression Evaluation, Transform Image Compression, Neural Predictive Image Coding, Neural Image Autoencoding, CNN-Transformer Image Compression, RNN Image Compression, Variable Rate RNN Image Compression.
Digital Image Compression
This lecture overviews Digital Image Restoration that has many applications in scientific/medical imaging and in digital photography. It covers the following topics in detail: Inverse Filters, Wiener Filters, Wavelet Restoration, Blind Deconvolution, Color Image Restoration, Neural Image Restoration, De-Fogging and De-Raining.
Digital Image Restoration
This lecture overviews Digital Image Restoration that has many applications in scientific/medical imaging and in digital photography. It covers the following topics in detail: Inverse Filters, Wiener Filters, Wavelet Restoration, Blind Deconvolution, Color Image Restoration, Neural Image Restoration, De-Fogging and De-Raining.
High-Dynamic Range Imaging
This lecture overviews High-Dynamic Range Imaging that has many applications in digital photography. It covers the following topics in detail: HDRI Software Requirements, HDRI Terminology, Two Early HDR Implementations, First Modern HDR Implementation, HDR Methods: CRF based, SNR based, Variance based, NN based HDRI.
Super Resolution
This lecture overviews Super Resolution that has many applications in digital imaging, display and printing. It covers the following topics in detail: Multi-Image Super Resolution, MISR in Frequency Domain, Statistical Approach, Single-Image Super Resolution in Spatial Domain (Nearest Neighbor Interpolation, Bilinear Interpolation, Bicubic Interpolation). Deep Learning Super Resolution Methods (Super Resolution GANs, Enhanced GANs, MISR with Residual Attention Network).