Sparse Representation Classification Beyond L1 Minimization and the Subspace Assumption
Fuente:
arXiv
Saved in:
| Main Authors: | Shen, Cencheng, Chen, Li, Dong, Yuexiao, Priebe, Carey E. |
|---|---|
| Format: | Preprint |
| Published: |
2015
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Decision Tree Embedding by Leaf-Means
by: Shen, Cencheng, et al.
Published: (2025)
by: Shen, Cencheng, et al.
Published: (2025)
Robust Vertex Classification
by: Chen, Li, et al.
Published: (2013)
by: Chen, Li, et al.
Published: (2013)
High-Dimensional Independence Testing via Maximum and Average Distance Correlations
by: Shen, Cencheng, et al.
Published: (2020)
by: Shen, Cencheng, et al.
Published: (2020)
Linear Discriminant Analysis with Gradient Optimization
by: Shen, Cencheng, et al.
Published: (2025)
by: Shen, Cencheng, et al.
Published: (2025)
A Graph Sufficiency Perspective for Neural Networks
by: Shen, Cencheng, et al.
Published: (2025)
by: Shen, Cencheng, et al.
Published: (2025)
Generalized Canonical Correlation Analysis for Classification
by: Shen, Cencheng, et al.
Published: (2013)
by: Shen, Cencheng, et al.
Published: (2013)
Principal Graph Encoder Embedding and Principal Community Detection
by: Shen, Cencheng, et al.
Published: (2025)
by: Shen, Cencheng, et al.
Published: (2025)
Manifold Matching using Shortest-Path Distance and Joint Neighborhood Selection
by: Shen, Cencheng, et al.
Published: (2014)
by: Shen, Cencheng, et al.
Published: (2014)
One-Hot Graph Encoder Embedding
by: Shen, Cencheng, et al.
Published: (2021)
by: Shen, Cencheng, et al.
Published: (2021)
From Distance Correlation to Multiscale Graph Correlation
by: Shen, Cencheng, et al.
Published: (2017)
by: Shen, Cencheng, et al.
Published: (2017)
Graph Encoder Ensemble for Simultaneous Vertex Embedding and Community Detection
by: Shen, Cencheng, et al.
Published: (2023)
by: Shen, Cencheng, et al.
Published: (2023)
A Simple Spectral Failure Mode for Graph Convolutional Networks
by: Priebe, Carey E., et al.
Published: (2020)
by: Priebe, Carey E., et al.
Published: (2020)
Graph Neural Networks Powered by Encoder Embedding for Improved Node Learning
by: Chen, Shiyu, et al.
Published: (2025)
by: Chen, Shiyu, et al.
Published: (2025)
On the Incommensurability Phenomenon
by: Fishkind, Donniell E., et al.
Published: (2013)
by: Fishkind, Donniell E., et al.
Published: (2013)
Explaining Categorical Feature Interactions Using Graph Covariance and LLMs
by: Shen, Cencheng, et al.
Published: (2025)
by: Shen, Cencheng, et al.
Published: (2025)
Synergistic Graph Fusion via Encoder Embedding
by: Shen, Cencheng, et al.
Published: (2023)
by: Shen, Cencheng, et al.
Published: (2023)
Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery
by: Shen, Cencheng, et al.
Published: (2024)
by: Shen, Cencheng, et al.
Published: (2024)
Edge-Parallel Graph Encoder Embedding
by: Lubonja, Ariel, et al.
Published: (2024)
by: Lubonja, Ariel, et al.
Published: (2024)
Discovering and Deciphering Relationships Across Disparate Data Modalities
by: Vogelstein, Joshua T., et al.
Published: (2016)
by: Vogelstein, Joshua T., et al.
Published: (2016)
Discovering Communication Pattern Shifts in Large-Scale Labeled Networks using Encoder Embedding and Vertex Dynamics
by: Shen, Cencheng, et al.
Published: (2023)
by: Shen, Cencheng, et al.
Published: (2023)
Encoder Embedding for General Graph and Node Classification
by: Shen, Cencheng
Published: (2024)
by: Shen, Cencheng
Published: (2024)
Universally Consistent K-Sample Tests via Dependence Measures
by: Panda, Sambit, et al.
Published: (2019)
by: Panda, Sambit, et al.
Published: (2019)
Efficient Graph Encoder Embedding for Large Sparse Graphs in Python
by: Qin, Xihan, et al.
Published: (2024)
by: Qin, Xihan, et al.
Published: (2024)
Fast and Scalable Multi-Kernel Encoder Classifier
by: Shen, Cencheng
Published: (2024)
by: Shen, Cencheng
Published: (2024)
Sparse Projection Oblique Randomer Forests
by: Tomita, Tyler M., et al.
Published: (2015)
by: Tomita, Tyler M., et al.
Published: (2015)
Continuous Multidimensional Scaling
by: Trosset, Michael W., et al.
Published: (2024)
by: Trosset, Michael W., et al.
Published: (2024)
Black-box model classification under the discriminative factorization
by: Helm, Hayden, et al.
Published: (2026)
by: Helm, Hayden, et al.
Published: (2026)
The Exact Equivalence of Distance and Kernel Methods for Hypothesis Testing
by: Shen, Cencheng, et al.
Published: (2018)
by: Shen, Cencheng, et al.
Published: (2018)
Comparing Foundation Models using Data Kernels
by: Duderstadt, Brandon, et al.
Published: (2023)
by: Duderstadt, Brandon, et al.
Published: (2023)
Concentration bounds on response-based vector embeddings of black-box generative models
by: Acharyya, Aranyak, et al.
Published: (2025)
by: Acharyya, Aranyak, et al.
Published: (2025)
Query-efficient model evaluation using cached responses
by: Helm, Hayden, et al.
Published: (2026)
by: Helm, Hayden, et al.
Published: (2026)
Control Charts for Multi-agent Systems
by: Helm, Hayden, et al.
Published: (2026)
by: Helm, Hayden, et al.
Published: (2026)
Learning Interpretable Characteristic Kernels via Decision Forests
by: Panda, Sambit, et al.
Published: (2018)
by: Panda, Sambit, et al.
Published: (2018)
Network Dependence Testing via Diffusion Maps and Distance-Based Correlations
by: Lee, Youjin, et al.
Published: (2017)
by: Lee, Youjin, et al.
Published: (2017)
Out-of-Sample Embedding with Proximity Data: Projection versus Restricted Reconstruction
by: Trosset, Michael W., et al.
Published: (2025)
by: Trosset, Michael W., et al.
Published: (2025)
Statistical inference on black-box generative models in the data kernel perspective space
by: Helm, Hayden, et al.
Published: (2024)
by: Helm, Hayden, et al.
Published: (2024)
Consistent estimation of generative model representations in the data kernel perspective space
by: Acharyya, Aranyak, et al.
Published: (2024)
by: Acharyya, Aranyak, et al.
Published: (2024)
Semisupervised regression in latent structure networks on unknown manifolds
by: Acharyya, Aranyak, et al.
Published: (2023)
by: Acharyya, Aranyak, et al.
Published: (2023)
Almost Linear Convergence under Minimal Score Assumptions: Quantized Transition Diffusion
by: Huang, Xunpeng, et al.
Published: (2025)
by: Huang, Xunpeng, et al.
Published: (2025)
FlowSDR: Sufficient Dimension Reduction via Conditional Normalizing Flows
by: Dong, Yuexiao, et al.
Published: (2026)
by: Dong, Yuexiao, et al.
Published: (2026)
Similar Items
-
Decision Tree Embedding by Leaf-Means
by: Shen, Cencheng, et al.
Published: (2025) -
Robust Vertex Classification
by: Chen, Li, et al.
Published: (2013) -
High-Dimensional Independence Testing via Maximum and Average Distance Correlations
by: Shen, Cencheng, et al.
Published: (2020) -
Linear Discriminant Analysis with Gradient Optimization
by: Shen, Cencheng, et al.
Published: (2025) -
A Graph Sufficiency Perspective for Neural Networks
by: Shen, Cencheng, et al.
Published: (2025)