Cover Image

Locally Adaptive One-Class Classifier Fusion with Dynamic $\ell$p-Norm Constraints for Robust Anomaly Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nourmohammadi, Sepehr, Yenicesu, Arda Sarp, Arashloo, Shervin Rahimzadeh, Oguz, Ozgur S.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Manifold-regularised Large-Margin $\ell_p$-SVDD for Multidimensional Time Series Anomaly Detection
by: Arashloo, Shervin Rahimzadeh
Published: (2025)

Interpretable Responsibility Sharing as a Heuristic for Task and Motion Planning
by: Yenicesu, Arda Sarp, et al.
Published: (2024)

CUER: Corrected Uniform Experience Replay for Off-Policy Continuous Deep Reinforcement Learning Algorithms
by: Yenicesu, Arda Sarp, et al.
Published: (2024)

H-MaP: An Iterative and Hybrid Sequential Manipulation Planner
by: Cicek, Berk, et al.
Published: (2024)

Non‐Linear Output Structure Learning: A Novel Multi‐Target Technique for Multi‐Station and Multi‐Index Drought Modelling
by: Mir Jafar Sadegh Safari, et al.
Published: (2025)

Removing Geometric Bias in One-Class Anomaly Detection with Adaptive Feature Perturbation
by: Hermary, Romain, et al.
Published: (2025)

Noise Robust One-Class Intrusion Detection on Dynamic Graphs
by: Liuliakov, Aleksei, et al.
Published: (2025)

Lagrangian Perturbation Diffusion Steering: Latent Reinforcement Learning for Generative Policies
by: Simsir, Hikmet, et al.
Published: (2026)

Beyond $\ell_2$-norm and $\ell_\infty$-norm: A Curvature-Inspired $\ell_p$-Norm Scheme for Deep Neural Networks
by: Xu, Jianhao, et al.
Published: (2026)

PowerStep: Memory-Efficient Adaptive Optimization via $\ell_p$-Norm Steepest Descent
by: Lu, Yao, et al.
Published: (2026)

Exploring Sparsity and Smoothness of Arbitrary $\ell_p$ Norms in Adversarial Attacks
by: Duhme, Christof, et al.
Published: (2026)

A Classifier-Based Approach to Multi-Class Anomaly Detection for Astronomical Transients
by: Gupta, Rithwik, et al.
Published: (2024)

Disentangling Tabular Data Towards Better One-Class Anomaly Detection
by: Ye, Jianan, et al.
Published: (2024)

Understanding Time Series Anomaly State Detection through One-Class Classification
by: Zhou, Hanxu, et al.
Published: (2024)

One-Class Intrusion Detection with Dynamic Graphs
by: Liuliakov, Aleksei, et al.
Published: (2025)

Learning Spatially Adaptive $\ell_1$-Norms Weights for Convolutional Synthesis Regularization
by: Kofler, Andreas, et al.
Published: (2025)

Backdoor Attack against One-Class Sequential Anomaly Detection Models
by: Cheng, He, et al.
Published: (2024)

A Classifier-Based Approach to Multi-Class Anomaly Detection Applied to Astronomical Time-Series
by: Gupta, Rithwik, et al.
Published: (2024)

De-singularity Subgradient for the $q$-th-Powered $\ell_p$-Norm Weber Location Problem
by: Lai, Zhao-Rong, et al.
Published: (2024)

Robust Anomaly Detection through Multi-Modal Autoencoder Fusion for Small Vehicle Damage Detection
by: Khan, Sara, et al.
Published: (2025)

An Attention-Augmented VAE-BiLSTM Framework for Anomaly Detection in 12-Lead ECG Signals
by: Basora, Marc Garreta, et al.
Published: (2025)

Learning The Likelihood Test With One-Class Classifiers for Physical Layer Authentication
by: Ardizzon, Francesco, et al.
Published: (2022)

BAAF: Universal Transformation of One-Class Classifiers for Unsupervised Image Anomaly Detection
by: McIntosh, Declan, et al.
Published: (2026)

A Determinantal Approach to a Sharp $\ell^1-\ell^\infty-\ell^2$ Norm Inequality
by: Benitez, Jose Antonio Lara
Published: (2026)

Advancing Gasoline Consumption Forecasting: A Novel Hybrid Model Integrating Transformers, LSTM, and CNN
by: Ranjbar, Mahmoud, et al.
Published: (2024)

Scalable, Explainable and Provably Robust Anomaly Detection with One-Step Flow Matching
by: Li, Zhong, et al.
Published: (2025)

Dopamine: Brain Modes, Not Brains
by: Ghasemlou, Shervin
Published: (2026)

RAMSeS: Robust and Adaptive Model Selection for Time-Series Anomaly Detection Algorithms
by: Abdelmaksoud, Mohamed, et al.
Published: (2026)

Principal Eigenvalue Regularization for Improved Worst-Class Certified Robustness of Smoothed Classifiers
by: Jin, Gaojie, et al.
Published: (2025)

Robust Anomaly Detection Under Normality Distribution Shift in Dynamic Graphs
by: Xu, Xiaoyang, et al.
Published: (2025)

PatchGuard: Adversarially Robust Anomaly Detection and Localization through Vision Transformers and Pseudo Anomalies
by: Nafez, Mojtaba, et al.
Published: (2025)

Comparative Analysis of Shear Bond Strength of Four Adhesive Systems on Primary Dentin
by: Faezeh Abedi, et al.
Published: (2025)

Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions
by: Mishkin, Aaron, et al.
Published: (2022)

A Study on Multi-Class Online Fuzzy Classifiers for Dynamic Environments
by: Ajimoto, Kensuke, et al.
Published: (2026)

Implicit Bias of AdamW: $\ell_\infty$ Norm Constrained Optimization
by: Xie, Shuo, et al.
Published: (2024)

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers
by: Fang, Xubin, et al.
Published: (2026)

Performance of Machine Learning Classifiers for Anomaly Detection in Cyber Security Applications
by: Haug, Markus, et al.
Published: (2025)

An Anomaly Detection System Based on Generative Classifiers for Controller Area Network
by: Zhao, Chunheng, et al.
Published: (2024)

LogHD: Robust Compression of Hyperdimensional Classifiers via Logarithmic Class-Axis Reduction
by: Yun, Sanggeon, et al.
Published: (2025)

Utilizing Class Separation Distance for the Evaluation of Corruption Robustness of Machine Learning Classifiers
by: Siedel, Georg, et al.
Published: (2022)