Copertina

A Robust and Efficient Boundary Point Detection Method by Measuring Local Direction Dispersion

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Peng, Dehua, Gui, Zhipeng, Gui, Jie, Wu, Huayi
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Machine Learning I.5.2
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Sampling-enabled scalable manifold learning unveils the discriminative cluster structure of high-dimensional data
di: Peng, Dehua, et al.
Pubblicazione: (2024)

A Boundary-Aware Non-parametric Granular-Ball Classifier Based on Minimum Description Length
di: Xian, Zeqiang, et al.
Pubblicazione: (2026)

Learnable Kernel Density Estimation for Graphs and Its Application to Graph-Level Anomaly Detection
di: Wang, Xudong, et al.
Pubblicazione: (2025)

Ternary Decision Trees with Locally-Adaptive Uncertainty Zones
di: Smits, William
Pubblicazione: (2026)

RobustModelMaker: Coupling Bootstrap Stability Selection with Leakage-Safe Nested Cross-Validation for Scientific Machine Learning
di: Barnard, Amanda S
Pubblicazione: (2026)

Measuring Robustness of Speech Recognition from MEG Signals Under Distribution Shift
di: Chien, Sheng-You, et al.
Pubblicazione: (2026)

Convexity-Driven Projection for Point Cloud Dimensionality Reduction
di: Sanyal, Suman
Pubblicazione: (2025)

Adaptive Riemannian Graph Neural Networks
di: Wang, Xudong, et al.
Pubblicazione: (2025)

FUSE: Fast Semi-Supervised Node Embedding Learning via Structural and Label-Aware Optimization
di: Chakraborty, Sujan, et al.
Pubblicazione: (2025)

From Linear to Spline-Based Classification:Developing and Enhancing SMPA for Noisy Non-Linear Datasets
di: Srivastava, Vatsal
Pubblicazione: (2025)

ScaleMAP: Preserving Local Density and Neighborhood Structure in Low-Dimensional Embeddings
di: Poorna, Rajas, et al.
Pubblicazione: (2026)

CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy
di: Nishiyama, Daiki, et al.
Pubblicazione: (2022)

Masked Contrastive Pre-Training Improves Music Audio Key Detection
di: Yonay, Ori, et al.
Pubblicazione: (2026)

Exploring Hierarchical Classification Performance for Time Series Data: Dissimilarity Measures and Classifier Comparisons
di: Alagoz, Celal
Pubblicazione: (2024)

Sit-to-Stand Transitions Detection and Duration Measurement Using Smart Lacelock Sensor
di: Islam, Md Rafi, et al.
Pubblicazione: (2026)

Plug In and Learn: Federated Intelligence over a Smart Grid of Models
di: Abdurakhmanova, S., et al.
Pubblicazione: (2023)

Improving Omics-Based Classification: The Role of Feature Selection and Synthetic Data Generation
di: Perazzolo, Diego, et al.
Pubblicazione: (2025)

Gaussian RBF Centered Kernel Alignment (CKA) in the Large Bandwidth Limit
di: Alvarez, Sergio A.
Pubblicazione: (2021)

Adaptive Cascading Network for Continual Test-Time Adaptation
di: Nguyen, Kien X., et al.
Pubblicazione: (2024)

Structured Analytic Coherent Point Drift for Non-Rigid Point Set Registration
di: Feng, Wei, et al.
Pubblicazione: (2026)

Sparse Projection Oblique Randomer Forests
di: Tomita, Tyler M., et al.
Pubblicazione: (2015)

On the Development of Binary Classification Algorithm Based on Principles of Geometry and Statistical Inference
di: Srivastava, Vatsal
Pubblicazione: (2025)

NeuroViz: Real-time Interactive Visualization of Forward and Backward Passes in Neural Network Training
di: Sharma, Tanvi, et al.
Pubblicazione: (2026)

Balancing the Scales: A Comprehensive Study on Tackling Class Imbalance in Binary Classification
di: Abdelhamid, Mohamed, et al.
Pubblicazione: (2024)

Regularisation in neural networks: a survey and empirical analysis of approaches
di: Opperman, Christiaan P., et al.
Pubblicazione: (2026)

First-Mover Bias in Gradient Boosting Explanations: Mechanism, Detection, and Resolution
di: Caraker, Drake, et al.
Pubblicazione: (2026)

Discriminative Subspace Emersion from learning feature relevances across different populations
di: Canducci, Marco, et al.
Pubblicazione: (2025)

Uncovering Population PK Covariates from VAE-Generated Latent Spaces
di: Perazzolo, Diego, et al.
Pubblicazione: (2025)

ViBED-Net: Video Based Engagement Detection Network Using Face-Aware and Scene-Aware Spatiotemporal Cues
di: Gothwal, Prateek, et al.
Pubblicazione: (2025)

A Multi-Encoder Frozen-Decoder Approach for Fine-Tuning Large Language Models
di: Dhole, Kaustubh D.
Pubblicazione: (2025)

IMUVIE: Pickup Timeline Action Localization via Motion Movies
di: Clapham, John, et al.
Pubblicazione: (2024)

Robust and Clinically Reliable EEG Biomarkers: A Cross Population Framework for Generalizable Parkinson's Disease Detection
di: Rasmussen, Nicholas R., et al.
Pubblicazione: (2026)

The Manifold Density Function: An Intrinsic Method for the Validation of Manifold Learning
di: Holmgren, Benjamin, et al.
Pubblicazione: (2024)

Prior-Aligned Data Cleaning for Tabular Foundation Models
di: Berti-Equille, Laure
Pubblicazione: (2026)

ClustML: A Measure of Cluster Pattern Complexity in Scatterplots Learnt from Human-labeled Groupings
di: Abbas, Mostafa M., et al.
Pubblicazione: (2021)

Interactive Diabetes Risk Prediction Using Explainable Machine Learning: A Dash-Based Approach with SHAP, LIME, and Comorbidity Insights
di: Allani, Udaya
Pubblicazione: (2025)

A Low-complexity Structured Neural Network Approach to Intelligently Realize Wideband Multi-beam Beamformers
di: Aluvihare, Hansaka, et al.
Pubblicazione: (2025)

When Labels Have Structure: Improving Image Classification with Hierarchy-Aware Cross-Entropy
di: Chan, April, et al.
Pubblicazione: (2026)

GEESE: Genotype-aware End-to-End Spatio-temporal Embedding for Behavioral Phenotyping
di: Ding, Yiran, et al.
Pubblicazione: (2026)

EXCODER: EXplainable Classification Of DiscretE time series Representations
di: Hahn, Yannik, et al.
Pubblicazione: (2026)