Square Mosaic: Compression and Decompression

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Applied Topology: Compression Schemes and Range Patches

Explores compression schemes, texture recognition, range patches, evolution, and variants on persistence in applied topology.

Compression with Loss: Data and Signals

Explores compression with loss, covering limitations of lossless compression and techniques for compressing images and sound effectively.

Data Compression and Shannon's Theorem: Shannon-Fano Coding

Explores Shannon-Fano coding for efficient data compression and its comparison to Huffman coding.

Data Compression and Shannon Fano Coding

Explores practical data compression using Shannon Fano coding and the engineering challenges of compressing diverse data types.

Principal Component Analysis: Olympic Medals & Image Compression

Explores PCA for predicting medals distribution and compressing face images.

Model Compression: Techniques for Efficient NLP Models

Explores model compression techniques in NLP, discussing pruning, quantization, weight factorization, knowledge distillation, and attention mechanisms.

Data Compression and Entropy: Compression

Explores lossless data compression techniques, emphasizing efficient message representation and encoding strategies.

Data Compression and Shannon-Fano Algorithm

Explores the Shannon-Fano algorithm for data compression and its efficiency in creating unique binary codes for letters.

Deep Learning Accelerators: Optimization Strategies

Explores optimization strategies for deep learning accelerators, emphasizing data movement reduction through batching, dataflow optimizations, and compression.

Polar Codes: Wrapping and Decoding

Covers the wrapping and decoding process of polar codes, exploring the trade-off between quality and efficiency in lossy compression.