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Data Compression

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TitleStatusHype
Blockchain-Enabled Variational Information Bottleneck for Data Extraction Based on Mutual Information in Internet of Vehicles—0
Blurry Video Compression: A Trade-off between Visual Enhancement and Data Compression—0
CADC: Encoding User-Item Interactions for Compressing Recommendation Model Training Data—0
Camera-Aware Multi-Resolution Analysis (CAMRA) for Raw Sensor Data Compression—0
Cascade Decoders-Based Autoencoders for Image Reconstruction—0
Channel-Aware Throughput Maximization for Cooperative Data Fusion in CAV—0
Characterizing Generalized Rate-Distortion Performance of Video Coding: An Eigen Analysis Approach—0
Clustering-based Low-Rank Matrix Approximation: An Adaptive Theoretical Analysis with Application to Data Compression—0
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
Semantic Feature Division Multiple Access for Digital Semantic Broadcast Channels—0
Semantic Information G Theory for Range Control with Tradeoff between Purposiveness and Efficiency—0
Semantic Topic Analysis of Traffic Camera Images—0
Semantic Variational Bayes Based on a Semantic Information Theory for Solving Latent Variables—0
Semisupervised Clustering, AND-Queries and Locally Encodable Source Coding—0
Semisupervised Clustering by Queries and Locally Encodable Source Coding—0
SimBIG: Field-level Simulation-Based Inference of Galaxy Clustering—0
Simple strategies for recovering inner products from coarsely quantized random projections—0
Simultaneous Grouping and Denoising via Sparse Convex Wavelet Clustering—0
Smart Black Box 2.0: Efficient High-bandwidth Driving Data Collection based on Video Anomalies—0
SMML estimators for exponential families with continuous sufficient statistics—0
SnakeVoxFormer: Transformer-based Single Image\ Reconstruction with Run Length Encoding—0
Solving High-dimensional Inverse Problems Using Amortized Likelihood-free Inference with Noisy and Incomplete Data—0
Solving Optimal Power Flow on a Data-Budget: Feature Selection on Smart Meter Data—0
Some Notes on the Sample Complexity of Approximate Channel Simulation—0
Sparse L^1-Autoencoders for Scientific Data Compression—0
Sparse Multi-layer Image Approximation: Facial Image Compression—0
Sparse wavelet-based solutions for the M/EEG inverse problem—0
Spatiotemporally adaptive compression for scientific dataset with feature preservation -- a case study on simulation data with extreme climate events analysis—0
Spatiotemporal Sparse Bayesian Learning with Applications to Compressed Sensing of Multichannel Physiological Signals—0
SpikeCodec: An End-to-end Learned Compression Framework for Spiking Camera—0
Spiking sampling network for image sparse representation and dynamic vision sensor data compression—0
Stacked Auto Encoder Based Deep Reinforcement Learning for Online Resource Scheduling in Large-Scale MEC Networks—0
Strategies in JPEG compression using Convolutional Neural Network (CNN)—0
Lossy Neural Compression for Geospatial Analytics: A Review—0
Physical-Layer Supervised Learning Assisted by an Entangled Sensor Network—0
SymED: Adaptive and Online Symbolic Representation of Data on the Edge—0
Task-Oriented Data Compression for Multi-Agent Communications Over Bit-Budgeted Channels—0
Tencent Video Dataset (TVD): A Video Dataset for Learning-based Visual Data Compression and Analysis—0
Tensor Shape Search for Optimum Data Compression—0
Text Compression for Sentiment Analysis via Evolutionary Algorithms—0
A unified theory of learning—0
The Impact of Typicality for Informative Representative Selection—0
The PRIMPing Routine -- Tiling through Proximal Alternating Linearized Minimization—0
The Utility of Clustering in Prediction Tasks—0
Toward Efficient and Accurate Covariance Matrix Estimation on Compressed Data—0
Toward Scalable Image Feature Compression: A Content-Adaptive and Diffusion-Based Approach—0
Towards Effective and Robust Neural Trojan Defenses via Input Filtering—0
Towards Efficient and Accurate Approximation: Tensor Decomposition Based on Randomized Block Krylov Iteration—0
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