Latest Research in Face and Expression Recognition
58 research papers · 0.1 average citations · 2026 median publication year
Top Research Topics in Face and Expression Recognition
- Machine Learning — 22 papers
- Face and Expression Recognition — 9 papers
- Methodology — 3 papers
- Advanced Clustering Algorithms Research — 3 papers
- Machine Learning — 3 papers
- Signal Processing — 2 papers
- Domain Adaptation and Few-Shot Learning — 2 papers
- Business Process Modeling and Analysis — 2 papers
- Facility Location and Emergency Management — 1 papers
- VLSI and Analog Circuit Testing — 1 papers
Highest-Cited Papers
- HierX: Fast multi-scale distance-decay interaction on million-node networks
- High-order enhanced multi-view subspace clustering via dual norm and manifold constraints
- Unsupervised Feature Selection via Self-Supervised HSIC and Elastic Net Regularization
- Iterative Exploration-Driven Sparse SDP Clustering via Thompson Sampling
- Stable Filters for Generative Modeling of Graph Signals
- Factor-Wise Parameter Learning in Score-Based VAMP
- Randomized SVD Approximations for Spectral Co-Clustering of Word-Document Matrices
- Fuzzy Hypergraph Clustering via Higher-Order Modularity Maximization
- Design and Implementation of a Power-Efficient HML-BIST Architecture for BCD Multiplier Testing
- SpecReuse: Spectral Graph Reuse for Efficient Vision GNN Inference on FPGAs
- Bracketing Uncertainty in Clustering Under the Manifold Hypothesis
- Bullseye Hash: An Efficient Hash-Table for Sparse Tensor Contraction
- Unsupervised Representation Learning with Adaptive Multi-Order Structural Graph Fusion
- Towards Truly Unsupervised Evaluation of Feature Selection -- Extended Version
- Spectrally Tuned Bandwidth Selection for Kernel Fuzzy Relational Clustering
- Manifold Dimension Estimation via Local Graph Structure
- MAPLE: Self-Supervised Learning-Enhanced Nonlinear Dimensionality Reduction for Visual Analysis
- Correntropy-Guided Tensor Graph Learning for Robust Semi-Supervised Multi-View Clustering
- High-Probability Convergence of SGD via Batched Updates
- Dual-guided Hierarchical Edge Localization for Large-scale Optimal Transport Across Dimensions