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Data Compression

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Showing 176–200 of 459 papers

TitleStatusHype
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
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
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
Fine-grain atlases of functional modes for fMRI analysis—0
Flatsomatic: A Method for Compression of Somatic Mutation Profiles in Cancer—0
A Learning Framework for Bandwidth-Efficient Distributed Inference in Wireless IoT—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
FPGA-Based Neural Network Accelerators for Space Applications: A Survey—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
Event-based Neural Spike Detection Using Spiking Neural Networks for Neuromorphic iBMI Systems—0
Fully Digital Second-order Level-crossing Sampling ADC for Data Saving in Sensing Sparse Signals—0
Clustering-based Low-Rank Matrix Approximation: An Adaptive Theoretical Analysis with Application to Data Compression—0
Estimating the Fundamental Limits is Easier than Achieving the Fundamental Limits—0
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