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Data Compression

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Showing 176–200 of 459 papers

TitleStatusHype
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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