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Data Compression

Papers

Showing 401–450 of 459 papers

TitleStatusHype
Cluster Purging: Efficient Outlier Detection based on Rate-Distortion Theory—0
CNeRV: Content-adaptive Neural Representation for Visual Data—0
Cognitive Semantic Communication Systems Driven by Knowledge Graph—0
Cognitive Semantic Communication Systems Driven by Knowledge Graph: Principle, Implementation, and Performance Evaluation—0
Combining Progressive Image Compression and Random Access in DNA Data Storage—0
Communication-Efficient Large-Scale Distributed Deep Learning: A Comprehensive Survey—0
Compressed-Domain Detection and Estimation for Colocated MIMO Radar—0
Compressed Sensing for Energy-Efficient Wireless Telemonitoring of Noninvasive Fetal ECG via Block Sparse Bayesian Learning—0
Compressed Sensing of EEG for Wireless Telemonitoring with Low Energy Consumption and Inexpensive Hardware—0
Compressed Underwater Acoustic Communications for Dynamic Interaction with Underwater Vehicles—0
Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth—0
Compression using Discrete Multi-Level Divisor Transform for Heterogeneous Sensor Data—0
Compressive dual-comb spectroscopy—0
Compressive Mining: Fast and Optimal Data Mining in the Compressed Domain—0
Compressive Sensing of ECG Signals using Plug-and-Play Regularization—0
Compressive Sensing of Sparse Tensors—0
Computationally and Memory-Efficient Robust Predictive Analytics Using Big Data—0
Conditional Neural Video Coding with Spatial-Temporal Super-Resolution—0
Construction of generalized samplets in Banach spaces—0
Context-Aware Neural Video Compression on Solar Dynamics Observatory—0
Convolutional Autoencoders for Data Compression and Anomaly Detection in Small Satellite Technologies—0
Crossword: A Semantic Approach to Data Compression via Masking—0
Data Compression using Rank-1 Lattices for Parameter Estimation in Machine Learning—0
Data Compression with Bayesian Attention Networks—0
Data Discovery Using Lossless Compression-Based Sparse Representation—0
Data Twinning—0
Deciphering subsampled data: adaptive compressive sampling as a principle of brain communication—0
Deep data compression for approximate ultrasonic image formation—0
Deep Generative Modeling Reshapes Compression and Transmission: From Efficiency to Resiliency—0
DeepN-JPEG: A Deep Neural Network Favorable JPEG-based Image Compression Framework—0
DeepSelective: Feature Gating and Representation Matching for Interpretable Clinical Prediction—0
Deep Surface Light Fields—0
Depth Over RGB: Automatic Evaluation of Open Surgery Skills Using Depth Camera—0
Differentiable Earth Mover's Distance for Data Compression at the High-Luminosity LHC—0
Distance Invariant Sparse Autoencoder for Wireless Signal Strength Mapping—0
Distortion-Controlled Dithering with Reduced Recompression Rate—0
DMVC: Multi-Camera Video Compression Network aimed at Improving Deep Learning Accuracy—0
Does Video Summarization Require Videos? Quantifying the Effectiveness of Language in Video Summarization—0
Don't Look Twice: Faster Video Transformers with Run-Length Tokenization—0
Dynamic Compression Ratio Selection for Edge Inference Systems with Hard Deadlines—0
Dynamic Predictive Sampling Analog to Digital Converter for Sparse Signal Sensing—0
ECNR: Efficient Compressive Neural Representation of Time-Varying Volumetric Datasets—0
Edge Computing For Smart Health: Context-aware Approaches, Opportunities, and Challenges—0
Edge-Fog Computing-Enabled EEG Data Compression via Asymmetrical Variational Discrete Cosine Transform Network—0
Edge Storage Management Recipe with Zero-Shot Data Compression for Road Anomaly Detection—0
Effective In-Context Example Selection through Data Compression—0
Efficient Bearing Sensor Data Compression via an Asymmetrical Autoencoder with a Lifting Wavelet Transform Layer—0
Efficient Compressed Ratio Estimation Using Online Sequential Learning for Edge Computing—0
Efficient GPU implementation of randomized SVD and its applications—0
Efficient Learned Wavelet Image and Video Coding—0
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