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Computer Science
Artificial Intelligence
Introduction to Artificial Intelligence
1. Foundations of Artificial Intelligence
2. Problem Solving and Search
3. Knowledge Representation and Reasoning
4. Machine Learning Fundamentals
5. Neural Networks and Deep Learning
6. Natural Language Processing
7. Computer Vision and Perception
8. AI Ethics and Societal Impact
Computer Vision and Perception
Image Formation and Representation
Camera Models
Pinhole Camera
Lens Systems
Camera Calibration
Digital Images
Pixel Representation
Color Spaces
Image Formats
Image Quality
Resolution
Noise
Compression
Low-Level Image Processing
Point Operations
Histogram Manipulation
Contrast Enhancement
Gamma Correction
Spatial Filtering
Linear Filters
Edge Detection
Noise Reduction
Morphological Operations
Erosion and Dilation
Opening and Closing
Connected Components
Feature Detection and Description
Edge Detection
Gradient-Based Methods
Canny Edge Detector
Edge Linking
Corner Detection
Harris Corner Detector
SIFT Features
SURF Features
Texture Analysis
Texture Descriptors
Local Binary Patterns
Gabor Filters
Object Recognition
Template Matching
Correlation Methods
Normalized Cross-Correlation
Feature-Based Recognition
Bag of Visual Words
Spatial Pyramid Matching
Deep Learning Approaches
CNN for Classification
Object Detection Networks
Semantic Segmentation
Advanced Vision Tasks
Image Segmentation
Thresholding
Region Growing
Graph-Based Segmentation
Object Tracking
Kalman Filters
Particle Filters
Deep Learning Tracking
3D Vision
Stereo Vision
Structure from Motion
Depth Estimation
Speech and Audio Processing
Audio Signal Basics
Sampling and Quantization
Frequency Domain
Spectrograms
Speech Recognition
Feature Extraction
Acoustic Modeling
Language Modeling
Decoding
Speech Synthesis
Text-to-Speech Systems
Concatenative Synthesis
Neural Speech Synthesis
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6. Natural Language Processing
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8. AI Ethics and Societal Impact