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Data Compression

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Showing 401–450 of 459 papers

TitleStatusHype
The PRIMPing Routine -- Tiling through Proximal Alternating Linearized Minimization—0
Adaptive Sample-space & Adaptive Probability coding: a neural-network based approach for compression—0
Integer Networks for Data Compression with Latent-Variable Models—0
Semisupervised Clustering by Queries and Locally Encodable Source Coding—0
Physical-Layer Supervised Learning Assisted by an Entangled Sensor Network—0
DeepZip: Lossless Data Compression using Recurrent Neural NetworksCode0
Gaussian AutoEncoder—0
A Periodicity-based Parallel Time Series Prediction Algorithm in Cloud Computing Environments—0
Deep Surface Light Fields—0
A Novel Chaotic Uniform Quantizer for Speech Coding—0
Rate Distortion For Model Compression: From Theory To Practice—0
Semantic Topic Analysis of Traffic Camera Images—0
Person Identification using Seismic Signals generated from Footfalls—0
On the Information in Extreme Measurements for Parameter Estimation—0
Intermediate Deep Feature Compression: the Next Battlefield of Intelligent Sensing—0
An iterative method for classification of binary data—0
Matrix Factorization on GPUs with Memory Optimization and Approximate ComputingCode0
SAIFE: Unsupervised Wireless Spectrum Anomaly Detection with Interpretable FeaturesCode0
Fast Fourier-Based Generation of the Compression Matrix for Deterministic Compressed Sensing—0
Human Activity Prediction in Smart Home Environments with LSTM Neural Networks—0
SegMap: 3D Segment Mapping using Data-Driven DescriptorsCode0
DeepN-JPEG: A Deep Neural Network Favorable JPEG-based Image Compression Framework—0
3LC: Lightweight and Effective Traffic Compression for Distributed Machine Learning—0
Semisupervised Clustering, AND-Queries and Locally Encodable Source Coding—0
Simple strategies for recovering inner products from coarsely quantized random projections—0
Camera-Aware Multi-Resolution Analysis (CAMRA) for Raw Sensor Data Compression—0
Text Compression for Sentiment Analysis via Evolutionary Algorithms—0
Limiting the Reconstruction Capability of Generative Neural Network using Negative Learning—0
Toward Efficient and Accurate Covariance Matrix Estimation on Compressed Data—0
Estimating the Fundamental Limits is Easier than Achieving the Fundamental Limits—0
The Impact of Typicality for Informative Representative Selection—0
Efficient Manifold and Subspace Approximations with SphereletsCode0
From Imitation to Prediction, Data Compression vs Recurrent Neural Networks for Natural Language Processing—0
Multimodal deep learning approach for joint EEG-EMG data compression and classification—0
A description length approach to determining the number of k-means clusters—0
Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent—0
Maximum entropy models capture melodic styles—0
Globally Variance-Constrained Sparse Representation and Its Application in Image Set Coding—0
Joint Data Compression and MAC Protocol Design for Smartgrids with Renewable Energy—0
Random Projection Estimation of Discrete-Choice Models with Large Choice Sets—0
Robust PCA with compressed data—0
The Utility of Clustering in Prediction Tasks—0
Artificial general intelligence through recursive data compression and grounded reasoning: a position paper—0
Sparse Multi-layer Image Approximation: Facial Image Compression—0
Reduced Basis Decomposition: a Certified and Fast Lossy Data Compression Algorithm—0
Image Data Compression for Covariance and Histogram Descriptors—0
Compressive Mining: Fast and Optimal Data Mining in the Compressed Domain—0
Universal Memcomputing Machines—0
Spatiotemporal Sparse Bayesian Learning with Applications to Compressed Sensing of Multichannel Physiological Signals—0
Improving Bilayer Product Quantization for Billion-Scale Approximate Nearest Neighbors in High Dimensions—0
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