1. |
![비디오 비디오](/home/images/search/ico_video.gif) |
Lecture 1: Introduction to Pattern Recognition
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Introduction to Pattern Recognition |
![URL](/home/images/search/btnUrl.gif) |
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![문서 문서](/home/images/search/ico_pdf.gif) |
Lecture 1: Introduction to Pattern Recognition
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Introduction to Pattern Recognition |
![URL](/home/images/search/btnUrl.gif) |
2. |
![비디오 비디오](/home/images/search/ico_video.gif) |
Lecture 2: Probability Theory and Probabilistic Decision Theory
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Basic Probability Theory |
![URL](/home/images/search/btnUrl.gif) |
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![문서 문서](/home/images/search/ico_pdf.gif) |
Lecture 2: Probability Theory and Probabilistic Decision Theory
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Basic Probability Theory |
![URL](/home/images/search/btnUrl.gif) |
3. |
![비디오 비디오](/home/images/search/ico_video.gif) |
Lecture 3: Bayesian Decision Theory
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Bayesian Inference and Decision Theory |
![URL](/home/images/search/btnUrl.gif) |
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![문서 문서](/home/images/search/ico_pdf.gif) |
Lecture 3: Bayesian Decision Theory
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Bayesian Inference and Decision Theory |
![URL](/home/images/search/btnUrl.gif) |
4. |
![비디오 비디오](/home/images/search/ico_video.gif) |
Lecture 4: Clustering and K-means Clustering
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Clustering
Vector Quantization (VQ)
Pattern Recognition using VQ |
![URL](/home/images/search/btnUrl.gif) |
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![문서 문서](/home/images/search/ico_pdf.gif) |
Lecture 4: Clustering and K-means Clustering
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Clustering
Vector Quantization (VQ)
Pattern Recognition using VQ |
![URL](/home/images/search/btnUrl.gif) |
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![문서 문서](/home/images/search/ico_pdf.gif) |
Lecture 4: Clustering and K-means Clustering
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Clustering
Vector Quantization (VQ)
Pattern Recognition using VQ |
![URL](/home/images/search/btnUrl.gif) |
5. |
![비디오 비디오](/home/images/search/ico_video.gif) |
Lecture 5: Normal Random Variable and Its Discriminant Function Designs
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Normal Distributions |
![URL](/home/images/search/btnUrl.gif) |
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![문서 문서](/home/images/search/ico_pdf.gif) |
Lecture 5: Normal Random Variable and Its Discriminant Function Designs
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Normal Distributions |
![URL](/home/images/search/btnUrl.gif) |
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![문서 문서](/home/images/search/ico_pdf.gif) |
Lecture 5: Normal Random Variable and Its Discriminant Function Designs
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Normal Distributions |
![URL](/home/images/search/btnUrl.gif) |
6. |
![비디오 비디오](/home/images/search/ico_video.gif) |
Lecture 6: Gaussian Mixture Models and Cross Validation
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Gaussian Mixture Models (GMM) |
![URL](/home/images/search/btnUrl.gif) |
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![문서 문서](/home/images/search/ico_pdf.gif) |
Lecture 6: Gaussian Mixture Models and Cross Validation
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Gaussian Mixture Models (GMM) |
![URL](/home/images/search/btnUrl.gif) |
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![문서 문서](/home/images/search/ico_pdf.gif) |
Lecture 6: Gaussian Mixture Models and Cross Validation
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Gaussian Mixture Models (GMM) |
![URL](/home/images/search/btnUrl.gif) |
7. |
![비디오 비디오](/home/images/search/ico_video.gif) |
Lecture 7: Support Vector Machines
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Support Vector Machines (SVM) |
![URL](/home/images/search/btnUrl.gif) |
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![문서 문서](/home/images/search/ico_pdf.gif) |
Lecture 7: Support Vector Machines
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Support Vector Machines (SVM) |
![URL](/home/images/search/btnUrl.gif) |
8. |
![비디오 비디오](/home/images/search/ico_video.gif) |
Lecture 8: Principal Component Analysis
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Principal Component Analysis |
![URL](/home/images/search/btnUrl.gif) |
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![문서 문서](/home/images/search/ico_pdf.gif) |
Lecture 8: Principal Component Analysis
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Principal Component Analysis |
![URL](/home/images/search/btnUrl.gif) |
9. |
![비디오 비디오](/home/images/search/ico_video.gif) |
Lecture 9: Single-Layer Linear Perceptron and Multi-Layer Perceptron
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Single-Layer Linear Perceptron and Multi-Layer Perceptron |
![URL](/home/images/search/btnUrl.gif) |
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![문서 문서](/home/images/search/ico_pdf.gif) |
Lecture 9: Single-Layer Linear Perceptron and Multi-Layer Perceptron
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Single-Layer Linear Perceptron and Multi-Layer Perceptron |
![URL](/home/images/search/btnUrl.gif) |
10. |
![비디오 비디오](/home/images/search/ico_video.gif) |
Lecture 10: Handwritten Digit(MNIST) Recognition Using Deep Neural Networks 1
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Handwritten Digit(MNIST) Recognition Using Deep Neural Networks 1 |
![URL](/home/images/search/btnUrl.gif) |
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![문서 문서](/home/images/search/ico_pdf.gif) |
Lecture 10: Handwritten Digit(MNIST) Recognition Using Deep Neural Networks 1
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Handwritten Digit(MNIST) Recognition Using Deep Neural Networks 1 |
![URL](/home/images/search/btnUrl.gif) |
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![비디오 비디오](/home/images/search/ico_video.gif) |
Lecture 10: Handwritten Digit(MNIST) Recognition Using Deep Neural Networks 2
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Handwritten Digit(MNIST) Recognition Using Deep Neural Networks 2 |
![URL](/home/images/search/btnUrl.gif) |
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![문서 문서](/home/images/search/ico_pdf.gif) |
Lecture 10: Handwritten Digit(MNIST) Recognition Using Deep Neural Networks 2
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Handwritten Digit(MNIST) Recognition Using Deep Neural Networks 2 |
![URL](/home/images/search/btnUrl.gif) |