Robust Tensor Analysis With Non-Greedy L1-Norm Maximization

Radioengineering - Czech Republic
doi 10.13164/re.2016.0200
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Brno University of Technology

Related search

Robust Multi-Relational Clustering via L1-Norm Symmetric Nonnegative Matrix Factorization

2015English

Efficient and Robust TWSVM Classification via a Minimum L1-Norm Distance Metric Criterion

Machine Learning
Artificial IntelligenceSoftware
2018English

Greedy Maximization Framework for Graph-Based Influence Functions

2016English

A Conditional Quasi-Greedy Basis of L1

Studia Mathematica
Mathematics
2001English

Continuity and Monotonicity of Solutions to a Greedy Maximization Problem

Mathematical Methods of Operations Research
Management ScienceSoftwareOperations ResearchMathematics
2020English

On the Tensor Spectral P-Norm and Its Dual Norm via Partitions

Computational Optimization and Applications
ControlComputational MathematicsApplied MathematicsOptimization
2020English

Clustering of Multivariate Binary Data With Dimension Reduction via L1-Regularized Likelihood Maximization

Pattern Recognition
Signal ProcessingComputer VisionPattern RecognitionArtificial IntelligenceSoftware
2015English

Robust Low-Rank Tensor Recovery With Rectification and Alignment

IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern RecognitionApplied MathematicsComputer VisionMathematicsComputational TheoryArtificial IntelligenceSoftware
2019English

Structured Robust Correlation Filter With L2,1 Norm for Object Tracking

Journal of Electronic Imaging
Electronic EngineeringMolecular Physics,Computer Science ApplicationsElectricalAtomicOptics
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy