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Data Compression

Papers

Showing 201250 of 459 papers

TitleStatusHype
Adaptive Sample-space & Adaptive Probability coding: a neural-network based approach for compression0
Adaptive Subband Compression for Streaming of Continuous Point-on-Wave and PMU Data0
A Decade of Research for Image Compression In Multimedia Laboratory0
A description length approach to determining the number of k-means clusters0
Advanced Medical Image Representation for Efficient Processing and Transfer in Multisite Clouds0
Aerosense: A Self-Sustainable And Long-Range Bluetooth Wireless Sensor Node for Aerodynamic and Aeroacoustic Monitoring on Wind Turbines0
A Joint Data Compression and Time-Delay Estimation Method For Distributed Systems via Extremum Encoding0
A Learning Framework for Bandwidth-Efficient Distributed Inference in Wireless IoT0
A Low-Complexity Approach to Rate-Distortion Optimized Variable Bit-Rate Compression for Split DNN Computing0
A method based on Generative Adversarial Networks for disentangling physical and chemical properties of stars in astronomical spectra0
Anytime 3D Object Reconstruction using Multi-modal Variational Autoencoder0
A Multiparametric Class of Low-complexity Transforms for Image and Video Coding0
An AI-based, Error-bounded Compression Scheme for High-frequency Power Quality Disturbance Data0
Analog vs. Digital Spatial Transforms: A Throughput, Power, and Area Comparison0
Analysis and Optimization of the Latency Budget in Wireless Systems with Mobile Edge Computing0
Anamorphic transformation and its application to time-bandwidth compression0
An Efficient Architecture and High-Throughput Implementation of CCSDS-123.0-B-2 Hybrid Entropy Coder Targeting Space-Grade SRAM FPGA Technology0
An End-to-End Encrypted Neural Network for Gradient Updates Transmission in Federated Learning0
An Energy-Efficient Reconfigurable Autoencoder Implementation on FPGA0
An Energy-efficient Wireless Neural Recording System with Compressed Sensing and Encryption0
A New Approach of Data Pre-processing for Data Compression in Smart Grids0
A new technique for compression of data sets0
An Interpretable Compression and Classification System: Theory and Applications0
An iterative method for classification of binary data0
Anomaly Detection from a Tensor Train Perspective0
The optimal transport paradigm enables data compression in data-driven robust control0
A Novel Algorithm for Exact Concave Hull Extraction0
A Novel Approach for Neuromorphic Vision Data Compression based on Deep Belief Network0
A novel asymmetrical autoencoder with a sparsifying discrete cosine Stockwell transform layer for gearbox sensor data compression0
A Novel Chaotic Uniform Quantizer for Speech Coding0
A Novel Sequential Coreset Method for Gradient Descent Algorithms0
APack: Off-Chip, Lossless Data Compression for Efficient Deep Learning Inference0
A Periodicity-based Parallel Time Series Prediction Algorithm in Cloud Computing Environments0
Application of Tensorized Neural Networks for Cloud Classification0
Approximating Human-Like Few-shot Learning with GPT-based Compression0
A Quick Review on Recent Trends in 3D Point Cloud Data Compression Techniques and the Challenges of Direct Processing in 3D Compressed Domain0
A reconfigurable neural network ASIC for detector front-end data compression at the HL-LHC0
Are Deep Sequence Classifiers Good at Non-Trivial Generalization?0
Artificial general intelligence through recursive data compression and grounded reasoning: a position paper0
Artificial Intelligence in Creative Industries: Advances Prior to 20250
Artificial Intelligence in the Creative Industries: A Review0
Attention Based Machine Learning Methods for Data Reduction with Guaranteed Error Bounds0
A Unified Image Preprocessing Framework For Image Compression0
Authorship Analysis based on Data Compression0
Bandwidth-Aware and Overlap-Weighted Compression for Communication-Efficient Federated Learning0
Bandwidth-efficient Inference for Neural Image Compression0
Bayesian Attention Networks for Data Compression0
Bayesian nonparametric estimation of coverage probabilities and distinct counts from sketched data0
Bayesian Properties of Normalized Maximum Likelihood and its Fast Computation0
Bayesian subset selection and variable importance for interpretable prediction and classification0
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