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20172026
most citedDeepFRC: An End-to-End Deep Learning Model for Functional Registration and Classification

2 citations · 4 across the 8 of their papers we have counts for

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2 papers · 1 filter

stat.ML2025

Adaptively Truncated Signature-based Logistic Regression for Semi-parametric Functional Classification

Pengcheng Zeng, Siyuan Jiang

Modern sensing technologies routinely generate multi-dimensional functional data, often accompanied by scalar covariates, motivating statistical methods that can jointly accommodat…

cs.CV2025★ 2 cited

DeepFRC: An End-to-End Deep Learning Model for Functional Registration and Classification

Siyuan Jiang, Yihan Hu, Wenjie Li +1

Functional data, representing curves or trajectories, are ubiquitous in fields like biomedicine and motion analysis. A fundamental challenge is phase variability -- temporal misali…