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Secondary Storage Organization-II, by P.K. Biswas

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Lecture 09: Linear Classifier, by P.K. Biswas

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DAM Architecture Buffer Cache, by P.K. Biswas

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Lecture 40 : Image Enhancement : Mask Processing Techniques-III, by P.K. Biswas

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Lecture 43: Image Restoration Techniques-II, by P.K. Biswas

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Lecture 35: Cross Correlation, by P.K. Biswas

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Introduction, by P.K. Biswas

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Probability Density Estimation (Contd.), by P.K. Biswas

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Lecture 06: Discriminant Function-I, by P.K. Biswas

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Lecture 04: Signal Reconstruction from Samples: Convolution Concept, by P.K. Biswas

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Lecture 49: Layer, Instance, Group Normalization, by P.K. Biswas

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Pipeline CPU-II, by P.K. Biswas

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Lecture 54: Semantic Segmentation-II, by P.K. Biswas

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Mathematical Morphology-I, by P.K. Biswas

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Lecture 37: Histogram Implementation-II, by P.K. Biswas

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Image Interpolation-II, by P.K. Biswas

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Fourier Transformation-II, by P.K. Biswas

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Memory Organization-V, by P.K. Biswas

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Hidden Markov Model, by P.K. Biswas

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Linear Discriminator (Tutorial), by P.K. Biswas

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Lecture 01 : Introduction to Digital Image Processing, by P.K. Biswas

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Multiple Discriminant Analysis (Tutorial), by P.K. Biswas

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Pipeline Concept-III, by P.K. Biswas

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CPU Design-I, by P.K. Biswas

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Lecture 23: Backpropagation Learning, by P.K. Biswas

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Lecture 55: Semantic Segmentation-III, by P.K. Biswas

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Image Digitization II, by P.K. Biswas

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Lecture 29: Handmard Transformation, by P.K. Biswas

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Object Representation and Description-I, by P.K. Biswas

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Lecture 24: Fourier Transformation, by P.K. Biswas

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