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Scan Conversion of a Polygon (Contd), by Sukhendu Das

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K-Means Algorithm and Hierarchical Clustering, by Sukhendu Das

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Eigen Value and Eigen Vectors, by Sukhendu Das

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Normal Distribution and Decision Boundaries II, by Sukhendu Das

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CRT Display Devices (Contd), by Sukhendu Das

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Feature Selection : Sequential forward and Backward Selection, by Sukhendu Das

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FCM and Soft-Computing Techniques, by Sukhendu Das

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Principles of Pattern Recognition I (Introduction and Uses), by Sukhendu Das

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Solid Modelling-(Contd), by Sukhendu Das

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Basics of Clustering, Similarity/Dissimilarity Measures, Clustering Criteria., by Sukhendu Das

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Graphics Programming Using Open GL (Contd), by Sukhendu Das

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Normal Distribution and Parameter Estimation, by Sukhendu Das

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Clipping Lines, by Sukhendu Das

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Relevant Basics of Linear Algebra, Vector Spaces, by Sukhendu Das

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Principal Component Analysis (PCA), by Sukhendu Das

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Examples of Real-Life Dataset, by Sukhendu Das

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Comparison between Performance of Classifiers, by Sukhendu Das

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Digital Image Processing (Contd), by Sukhendu Das

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Fisher’s LDA, by Sukhendu Das

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Bayes Theorem, by Sukhendu Das

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Visible Surface Detection-(Contd), by Sukhendu Das

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Normal Distribution and Decision Boundaries I, by Sukhendu Das

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Introduction, by Sukhendu Das

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Scan Converting Lines, Circles and Ellipses (Contd), by Sukhendu Das

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Transformations in 2D, by Sukhendu Das

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K-NN Classifier, by Sukhendu Das

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Probability Density Estimation, by Sukhendu Das

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Visible Surface Detection, by Sukhendu Das

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Cauchy Schwartz Inequality, by Sukhendu Das

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Training Set, Test Set, by Sukhendu Das

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