manifold structure

Discriminative Graph Embedding Framework via Label-Free Marginal Fisher Analysis AAAI 2026 Shaping Without Tearing: Controllable Diffeomorphic Deformations for Topology-Preserving 3D Point Cloud Augmentation AAAI 2026 Clustering by Mining Density Distributions and Splitting Manifold Structure AAAI 2025 Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method IJCAI 2025 Implicit Relative Labeling-Importance Aware Multi-Label Metric Learning AAAI 2025 Training a Tucker Model With Shared Factors: a Riemannian Optimization Approach AISTATS 2024 Estimating Riemannian Metric with Noise-Contaminated Intrinsic Distance NeurIPS 2023 Optimal Block-wise Asymmetric Graph Construction for Graph-based Semi-supervised Learning NeurIPS 2023 Sample-Level Multi-View Graph Clustering CVPR 2023 Unsupervised Transfer Components Learning for Cross-Domain Speech Emotion Recognition Interspeech 2023 Iterative Label Cleaning for Transductive and Semi-Supervised Few-Shot Learning ICCV 2021 Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification EACL 2021 Neighborhood Structure Assisted Non-negative Matrix Factorization and Its Application in Unsupervised Point-wise Anomaly Detection JMLR 2021 MLS3RDUH: Deep Unsupervised Hashing via Manifold based Local Semantic Similarity Structure Reconstructing IJCAI 2020 Similarity Learning via Kernel Preserving Embedding AAAI 2019 Fundamental Conditions for Low-CP-Rank Tensor Completion JMLR 2017 Locality Adaptive Discriminant Analysis IJCAI 2017 Diffusion Processes for Retrieval Revisited CVPR 2013 From Local Similarity to Global Coding: An Application to Image Classification CVPR 2013 Learning the structure of manifolds using random projections NeurIPS 2007