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Data Compression

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Showing 151–200 of 459 papers

TitleStatusHype
Aerosense: A Self-Sustainable And Long-Range Bluetooth Wireless Sensor Node for Aerodynamic and Aeroacoustic Monitoring on Wind Turbines—0
Efficient Privacy Preserving Edge Computing Framework for Image Classification—0
Efficient Learned Wavelet Image and Video Coding—0
Accelerate Support Vector Clustering via Spectrum-Preserving Data Compression—0
Goal-oriented compression for L_p-norm-type goal functions: Application to power consumption scheduling—0
Goal-Oriented Communications for the IoT and Application to Data Compression—0
GOLLIC: Learning Global Context beyond Patches for Lossless High-Resolution Image Compression—0
Graph-Based Compensated Wavelet Lifting for Scalable Lossless Coding of Dynamic Medical Data—0
Graph-based compensated wavelet lifting for 3-D+t medical CT data—0
Guaranteed Conditional Diffusion: 3D Block-based Models for Scientific Data Compression—0
Efficient Compressed Ratio Estimation Using Online Sequential Learning for Edge Computing—0
Efficient GPU implementation of randomized SVD and its applications—0
Efficient Bearing Sensor Data Compression via an Asymmetrical Autoencoder with a Lifting Wavelet Transform Layer—0
An Interpretable Compression and Classification System: Theory and Applications—0
Blurry Video Compression: A Trade-off between Visual Enhancement and Data Compression—0
Effective In-Context Example Selection through Data Compression—0
Edge Storage Management Recipe with Zero-Shot Data Compression for Road Anomaly Detection—0
Electroencephalogram Sensor Data Compression Using An Asymmetrical Sparse Autoencoder With A Discrete Cosine Transform Layer—0
Energy-Efficient Classification at the Wireless Edge with Reliability Guarantees—0
Energy-efficient Task Adaptation for NLP Edge Inference Leveraging Heterogeneous Memory Architectures—0
Enhancing Dynamic Mode Decomposition Workflow with In-Situ Visualization and Data Compression—0
Enhancing Electrocardiogram Signal Analysis Using NLP-Inspired Techniques: A Novel Approach with Embedding and Self-Attention—0
Blockchain-Enabled Variational Information Bottleneck for Data Extraction Based on Mutual Information in Internet of Vehicles—0
Enumerative Data Compression with Non-Uniquely Decodable Codes—0
Estimating the Fundamental Limits is Easier than Achieving the Fundamental Limits—0
A new technique for compression of data sets—0
Event-based Neural Spike Detection Using Spiking Neural Networks for Neuromorphic iBMI Systems—0
Clustering-based Low-Rank Matrix Approximation: An Adaptive Theoretical Analysis with Application to Data Compression—0
Explainable Trajectory Representation through Dictionary Learning—0
Exposing Deep-faked Videos by Anomalous Co-motion Pattern Detection—0
CNeRV: Content-adaptive Neural Representation for Visual Data—0
A New Approach of Data Pre-processing for Data Compression in Smart Grids—0
Fast Fourier-Based Generation of the Compression Matrix for Deterministic Compressed Sensing—0
Cognitive Semantic Communication Systems Driven by Knowledge Graph—0
Fast Trajectory End-Point Prediction with Event Cameras for Reactive Robot Control—0
Feedback Recurrent Autoencoder for Video Compression—0
Edge-Fog Computing-Enabled EEG Data Compression via Asymmetrical Variational Discrete Cosine Transform Network—0
Fine-grain atlases of functional modes for fMRI analysis—0
Flatsomatic: A Method for Compression of Somatic Mutation Profiles in Cancer—0
Combining Progressive Image Compression and Random Access in DNA Data Storage—0
Advanced Medical Image Representation for Efficient Processing and Transfer in Multisite Clouds—0
Edge Computing For Smart Health: Context-aware Approaches, Opportunities, and Challenges—0
ECNR: Efficient Compressive Neural Representation of Time-Varying Volumetric Datasets—0
FPGA-Based Neural Network Accelerators for Space Applications: A Survey—0
BETULA: Numerically Stable CF-Trees for BIRCH Clustering—0
Is Compression Really Linear with Code Intelligence?—0
Learning Stable Representations with Full Encoder—0
Fully Digital Second-order Level-crossing Sampling ADC for Data Saving in Sensing Sparse Signals—0
Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods—0
GeneFormer: Learned Gene Compression using Transformer-based Context Modeling—0
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