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Data Compression

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Showing 201–250 of 459 papers

TitleStatusHype
Scanpath Prediction in Panoramic Videos via Expected Code Length Minimization—0
Representation Learning via Manifold Flattening and ReconstructionCode1
Advanced Medical Image Representation for Efficient Processing and Transfer in Multisite Clouds—0
Accelerate Support Vector Clustering via Spectrum-Preserving Data Compression—0
Crossword: A Semantic Approach to Data Compression via Masking—0
SnakeVoxFormer: Transformer-based Single Image\ Reconstruction with Run Length Encoding—0
Energy-efficient Task Adaptation for NLP Edge Inference Leveraging Heterogeneous Memory Architectures—0
Cognitive Semantic Communication Systems Driven by Knowledge Graph: Principle, Implementation, and Performance Evaluation—0
Fast and Multi-aspect Mining of Complex Time-stamped Event StreamsCode1
Fast Trajectory End-Point Prediction with Event Cameras for Reactive Robot Control—0
Joint Task and Data Oriented Semantic Communications: A Deep Separate Source-channel Coding Scheme—0
Cluster Purging: Efficient Outlier Detection based on Rate-Distortion Theory—0
FrankenSplit: Efficient Neural Feature Compression with Shallow Variational Bottleneck Injection for Mobile Edge ComputingCode1
Breaking the Communication-Privacy-Accuracy Tradeoff with f-Differential Privacy—0
Trading Information between Latents in Hierarchical Variational AutoencodersCode0
Graph-Based Compensated Wavelet Lifting for Scalable Lossless Coding of Dynamic Medical Data—0
LDMIC: Learning-based Distributed Multi-view Image CodingCode1
Modality-Agnostic Variational Compression of Implicit Neural Representations—0
An Energy-Efficient Reconfigurable Autoencoder Implementation on FPGA—0
Graph-based compensated wavelet lifting for 3-D+t medical CT data—0
Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods—0
Scalable Hybrid Learning Techniques for Scientific Data CompressionCode1
GeneFormer: Learned Gene Compression using Transformer-based Context Modeling—0
Towards Efficient and Accurate Approximation: Tensor Decomposition Based on Randomized Block Krylov Iteration—0
CNeRV: Content-adaptive Neural Representation for Visual Data—0
Dynamic Predictive Sampling Analog to Digital Converter for Sparse Signal Sensing—0
Fully Digital Second-order Level-crossing Sampling ADC for Data Saving in Sensing Sparse Signals—0
Squeeze flow of micro-droplets: convolutional neural network with trainable and tunable refinementCode0
TINC: Tree-structured Implicit Neural CompressionCode1
Goal-Oriented Communications for the IoT and Application to Data Compression—0
QuadConv: Quadrature-Based Convolutions with Applications to Non-Uniform PDE Data CompressionCode0
Efficient Compressed Ratio Estimation Using Online Sequential Learning for Edge Computing—0
Spiking sampling network for image sparse representation and dynamic vision sensor data compression—0
Optimal Compression for Minimizing Classification Error Probability: an Information-Theoretic Approach—0
A Novel Approach for Neuromorphic Vision Data Compression based on Deep Belief Network—0
Multi-rate adaptive transform coding for video compression—0
Are Deep Sequence Classifiers Good at Non-Trivial Generalization?—0
Compressive Sensing of ECG Signals using Plug-and-Play Regularization—0
GOLLIC: Learning Global Context beyond Patches for Lossless High-Resolution Image Compression—0
HeartSpot: Privatized and Explainable Data Compression for Cardiomegaly DetectionCode0
SCI: A Spectrum Concentrated Implicit Neural Compression for Biomedical DataCode1
Lossless SIMD Compression of LiDAR Range and Attribute Scan SequencesCode1
Bayesian nonparametric estimation of coverage probabilities and distinct counts from sketched data—0
To Compute or not to Compute? Adaptive Smart Sensing in Resource-Constrained Edge ComputingCode0
Convolutional Neural Network (CNN) to reduce construction loss in JPEG compression caused by Discrete Fourier Transform (DFT)Code1
A Low-Complexity Approach to Rate-Distortion Optimized Variable Bit-Rate Compression for Split DNN Computing—0
Enhancing Dynamic Mode Decomposition Workflow with In-Situ Visualization and Data Compression—0
A Unified Image Preprocessing Framework For Image Compression—0
Lossy compression of multidimensional medical images using sinusoidal activation networks: an evaluation studyCode0
Data centers with quantum random access memory and quantum networks—0
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