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Course Outline (6 Weeks) for Professor K.H Wong

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Presentation on theme: "Course Outline (6 Weeks) for Professor K.H Wong"— Presentation transcript:

1 Course Outline (6 Weeks) for Professor K.H Wong
Features from sound Vector quantization Can be used in many different applications Dynamic program Can be used for speech recognition and many applications Pitch extraction for music signal analysis Can be used for building music recommendation system, music data base analysis Face detection AdaBoost– a classification technique, can be used in many A.I. fields. Artificial Neural networks Back-propagation networks, CNN, RNN, LSTM etc. Support vector machine SVM (optional) Overview of CMSC5707

2 Course Outline (6 Weeks) for Professor K.S. Leung
Introduction to Expert System Introduction to Fuzzy Logic Fuzzy Expert Systems & Shell Inference Engine Linguistic Approximation Fuzzy Query (Databases) Applications Fuzzy Control Introduction to Genetic algorithm Applications of Deep Learning (Neural Networks)


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