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Data Compression

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Showing 151–200 of 459 papers

TitleStatusHype
Compressive Mining: Fast and Optimal Data Mining in the Compressed Domain—0
A Quick Review on Recent Trends in 3D Point Cloud Data Compression Techniques and the Challenges of Direct Processing in 3D Compressed Domain—0
Anytime 3D Object Reconstruction using Multi-modal Variational Autoencoder—0
Active Training of Physics-Informed Neural Networks to Aggregate and Interpolate Parametric Solutions to the Navier-Stokes Equations—0
4DAC: Learning Attribute Compression for Dynamic Point Clouds—0
Compressive dual-comb spectroscopy—0
Compression using Discrete Multi-Level Divisor Transform for Heterogeneous Sensor Data—0
Approximating Human-Like Few-shot Learning with GPT-based Compression—0
Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth—0
Application of Tensorized Neural Networks for Cloud Classification—0
A method based on Generative Adversarial Networks for disentangling physical and chemical properties of stars in astronomical spectra—0
Compressed Underwater Acoustic Communications for Dynamic Interaction with Underwater Vehicles—0
Compressed Sensing of EEG for Wireless Telemonitoring with Low Energy Consumption and Inexpensive Hardware—0
Compressed Sensing for Energy-Efficient Wireless Telemonitoring of Noninvasive Fetal ECG via Block Sparse Bayesian Learning—0
A Periodicity-based Parallel Time Series Prediction Algorithm in Cloud Computing Environments—0
A color temperature-based high-speed decolorization: an empirical approach for tone mapping applications—0
Compressed-Domain Detection and Estimation for Colocated MIMO Radar—0
APack: Off-Chip, Lossless Data Compression for Efficient Deep Learning Inference—0
Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods—0
Communication-Efficient Large-Scale Distributed Deep Learning: A Comprehensive Survey—0
A Novel Sequential Coreset Method for Gradient Descent Algorithms—0
Learning Stable Representations with Full Encoder—0
From Imitation to Prediction, Data Compression vs Recurrent Neural Networks for Natural Language Processing—0
A Novel Chaotic Uniform Quantizer for Speech Coding—0
FPGA-based AI Smart NICs for Scalable Distributed AI Training Systems—0
Fourier-Modulated Implicit Neural Representation for Multispectral Satellite Image Compression—0
Foundation Model for Lossy Compression of Spatiotemporal Scientific Data—0
A novel asymmetrical autoencoder with a sparsifying discrete cosine Stockwell transform layer for gearbox sensor data compression—0
A Low-Complexity Approach to Rate-Distortion Optimized Variable Bit-Rate Compression for Split DNN Computing—0
AccEPT: An Acceleration Scheme for Speeding Up Edge Pipeline-parallel Training—0
3LC: Lightweight and Effective Traffic Compression for Distributed Machine Learning—0
Combining Progressive Image Compression and Random Access in DNA Data Storage—0
Fine-grain atlases of functional modes for fMRI analysis—0
FFCA-Net: Stereo Image Compression via Fast Cascade Alignment of Side Information—0
A Novel Approach for Neuromorphic Vision Data Compression based on Deep Belief Network—0
Feedback Recurrent Autoencoder for Video Compression—0
Fast Trajectory End-Point Prediction with Event Cameras for Reactive Robot Control—0
Cognitive Semantic Communication Systems Driven by Knowledge Graph: Principle, Implementation, and Performance Evaluation—0
Flatsomatic: A Method for Compression of Somatic Mutation Profiles in Cancer—0
Fast Fourier-Based Generation of the Compression Matrix for Deterministic Compressed Sensing—0
Cognitive Semantic Communication Systems Driven by Knowledge Graph—0
A Novel Algorithm for Exact Concave Hull Extraction—0
A Learning Framework for Bandwidth-Efficient Distributed Inference in Wireless IoT—0
FPGA-Based Neural Network Accelerators for Space Applications: A Survey—0
CNeRV: Content-adaptive Neural Representation for Visual Data—0
Exposing Deep-faked Videos by Anomalous Co-motion Pattern Detection—0
Explainable Trajectory Representation through Dictionary Learning—0
Fully Digital Second-order Level-crossing Sampling ADC for Data Saving in Sensing Sparse Signals—0
Cluster Purging: Efficient Outlier Detection based on Rate-Distortion Theory—0
The optimal transport paradigm enables data compression in data-driven robust control—0
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