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Lecture
Data Compression: Privacy-Preserving Techniques
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Related lectures (32)
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Data Summarization: Minhashing and Locality-Sensitive Hashing
Explores Jaccard similarity, minhashing, and locality-sensitive hashing for data summarization.
Hashing and Sorting Techniques in Database Systems
Provides an overview of hashing and sorting techniques in database management systems, focusing on their implementation and performance optimization.
Compression: Prefix-Free Codes
Explains prefix-free codes for efficient data compression and the significance of uniquely decodable codes.
Neural Signal Compression
Explores analog-to-digital conversion, neural signal optimization, multichannel architectures, and on-chip compression techniques in neuroengineering.
Principal Component Analysis: Dimensionality Reduction
Covers Principal Component Analysis for dimensionality reduction, exploring its applications, limitations, and importance of choosing the right components.
Data Compression: Shannon-Fano Algorithm
Explores the Shannon-Fano algorithm for efficient data compression and its applications in lossless and lossy compression techniques.
Mohr Circle: Stress Analysis
Explains stress analysis using Mohr circles and strain energy concepts.
JPEG 2000: Image Compression
Explores image compression principles, focusing on JPEG 2000, covering transform-based coding, quantization, entropy coding, region of interest, error resilience, and software implementations.
Data Compression and Shannon-Fano Algorithm
Explores the Shannon-Fano algorithm for data compression and its efficiency in creating unique binary codes for letters.
Compression: Prediction
Covers the concepts of compression and prediction using prefix-free codes and distributions.
