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Data Compression

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TitleStatusHype
Efficient Privacy Preserving Edge Computing Framework for Image Classification—0
Accelerate Support Vector Clustering via Spectrum-Preserving Data Compression—0
Graph-Based Compensated Wavelet Lifting for Scalable Lossless Coding of Dynamic Medical Data—0
GOLLIC: Learning Global Context beyond Patches for Lossless High-Resolution Image Compression—0
Goal-oriented compression for L_p-norm-type goal functions: Application to power consumption scheduling—0
Graph-based compensated wavelet lifting for 3-D+t medical CT data—0
Graph Wedgelets: Adaptive Data Compression on Graphs based on Binary Wedge Partitioning Trees and Geometric Wavelets—0
Guided Wave-Based Structural Awareness Under Varying Operating States via Manifold Representations—0
Efficient Compressed Ratio Estimation Using Online Sequential Learning for Edge Computing—0
Efficient Bearing Sensor Data Compression via an Asymmetrical Autoencoder with a Lifting Wavelet Transform Layer—0
Blurry Video Compression: A Trade-off between Visual Enhancement and Data Compression—0
Efficient GPU implementation of randomized SVD and its applications—0
Efficient Learned Wavelet Image and Video Coding—0
An Interpretable Compression and Classification System: Theory and Applications—0
Effective In-Context Example Selection through Data Compression—0
Edge Storage Management Recipe with Zero-Shot Data Compression for Road Anomaly Detection—0
Blockchain-Enabled Variational Information Bottleneck for Data Extraction Based on Mutual Information in Internet of Vehicles—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
A new technique for compression of data sets—0
Enumerative Data Compression with Non-Uniquely Decodable Codes—0
Estimating the Fundamental Limits is Easier than Achieving the Fundamental Limits—0
Advanced Medical Image Representation for Efficient Processing and Transfer in Multisite Clouds—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
Edge-Fog Computing-Enabled EEG Data Compression via Asymmetrical Variational Discrete Cosine Transform Network—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
Is Compression Really Linear with Code Intelligence?—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
Edge Computing For Smart Health: Context-aware Approaches, Opportunities, and Challenges—0
ECNR: Efficient Compressive Neural Representation of Time-Varying Volumetric Datasets—0
A New Approach of Data Pre-processing for Data Compression in Smart Grids—0
FPGA-Based Neural Network Accelerators for Space Applications: A Survey—0
GeneFormer: Learned Gene Compression using Transformer-based Context Modeling—0
Generative Visual Compression: A Review—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
Dynamic Predictive Sampling Analog to Digital Converter for Sparse Signal Sensing—0
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