Saved in:
| Main Authors: | Nie, Feiping, Song, Yitao, Xue, Jingjing, Wang, Rong, Li, Xuelong |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.01780 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fast Semi-supervised Learning on Large Graphs: An Improved Green-function Method
by: Nie, Feiping, et al.
Published: (2024)
by: Nie, Feiping, et al.
Published: (2024)
Dual-Bounded Nonlinear Optimal Transport for Size Constrained Min Cut Clustering
by: Xie, Fangyuan, et al.
Published: (2025)
by: Xie, Fangyuan, et al.
Published: (2025)
A Greedy Strategy for Graph Cut
by: Nie, Feiping, et al.
Published: (2024)
by: Nie, Feiping, et al.
Published: (2024)
Robust Capped lp-Norm Support Vector Ordinal Regression
by: Xiang, Haorui, et al.
Published: (2024)
by: Xiang, Haorui, et al.
Published: (2024)
Adaptive Fuzzy C-Means with Graph Embedding
by: Chen, Qiang, et al.
Published: (2024)
by: Chen, Qiang, et al.
Published: (2024)
PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting
by: Yu, Yongbo, et al.
Published: (2024)
by: Yu, Yongbo, et al.
Published: (2024)
Riemannian Optimization on Relaxed Indicator Matrix Manifold
by: Yuan, Jinghui, et al.
Published: (2025)
by: Yuan, Jinghui, et al.
Published: (2025)
Multi-class Support Vector Machine with Maximizing Minimum Margin
by: Hao, Zhezheng, et al.
Published: (2023)
by: Hao, Zhezheng, et al.
Published: (2023)
Towards Federated Clustering: A Client-wise Private Graph Aggregation Framework
by: He, Guanxiong, et al.
Published: (2025)
by: He, Guanxiong, et al.
Published: (2025)
UniDiff: A Unified Diffusion Framework for Multimodal Time Series Forecasting
by: Zhang, Da, et al.
Published: (2025)
by: Zhang, Da, et al.
Published: (2025)
FusAD: Time-Frequency Fusion with Adaptive Denoising for General Time Series Analysis
by: Zhang, Da, et al.
Published: (2025)
by: Zhang, Da, et al.
Published: (2025)
FAIM: Frequency-Aware Interactive Mamba for Time Series Classification
by: Zhang, Da, et al.
Published: (2025)
by: Zhang, Da, et al.
Published: (2025)
Doubly Stochastic Adaptive Neighbors Clustering via the Marcus Mapping
by: Yuan, Jinghui, et al.
Published: (2024)
by: Yuan, Jinghui, et al.
Published: (2024)
A Margin-Maximizing Fine-Grained Ensemble Method
by: Yuan, Jinghui, et al.
Published: (2024)
by: Yuan, Jinghui, et al.
Published: (2024)
Achieving More with Less: A Tensor-Optimization-Powered Ensemble Method
by: Yuan, Jinghui, et al.
Published: (2024)
by: Yuan, Jinghui, et al.
Published: (2024)
Nora: Normalized Orthogonal Row Alignment for Scalable Matrix Optimizer
by: Yuan, Jinghui, et al.
Published: (2026)
by: Yuan, Jinghui, et al.
Published: (2026)
Scalable Varied-Density Clustering via Graph Propagation
by: Pham, Ninh, et al.
Published: (2025)
by: Pham, Ninh, et al.
Published: (2025)
Deep Contrastive Graph Learning with Clustering-Oriented Guidance
by: Chen, Mulin, et al.
Published: (2024)
by: Chen, Mulin, et al.
Published: (2024)
Simple Multigraph Convolution Networks
by: Wu, Danyang, et al.
Published: (2024)
by: Wu, Danyang, et al.
Published: (2024)
Adaptive Graph Auto-Encoder for General Data Clustering
by: Li, Xuelong, et al.
Published: (2020)
by: Li, Xuelong, et al.
Published: (2020)
Tensorized Clustered LoRA Merging for Multi-Task Interference
by: Su, Zhan, et al.
Published: (2025)
by: Su, Zhan, et al.
Published: (2025)
Towards Robust and Scalable Density-based Clustering via Graph Propagation
by: Zheng, Yingtao, et al.
Published: (2026)
by: Zheng, Yingtao, et al.
Published: (2026)
Clustering-Oriented Generative Attribute Graph Imputation
by: Chen, Mulin, et al.
Published: (2025)
by: Chen, Mulin, et al.
Published: (2025)
Towards Learnable Anchor for Deep Multi-View Clustering
by: Wang, Bocheng, et al.
Published: (2025)
by: Wang, Bocheng, et al.
Published: (2025)
Physics in Next-token Prediction
by: An, Hongjun, et al.
Published: (2024)
by: An, Hongjun, et al.
Published: (2024)
Merging Smarter, Generalizing Better: Enhancing Model Merging on OOD Data
by: Zhang, Bingjie, et al.
Published: (2025)
by: Zhang, Bingjie, et al.
Published: (2025)
Graph Clustering with Cross-View Feature Propagation
by: Duan, Zhixuan, et al.
Published: (2024)
by: Duan, Zhixuan, et al.
Published: (2024)
Unimodal Strategies in Density-Based Clustering
by: Nir, Oron, et al.
Published: (2025)
by: Nir, Oron, et al.
Published: (2025)
Internal Evaluation of Density-Based Clusterings with Noise
by: Beer, Anna, et al.
Published: (2025)
by: Beer, Anna, et al.
Published: (2025)
Training-free Heterogeneous Model Merging
by: Xu, Zhengqi, et al.
Published: (2024)
by: Xu, Zhengqi, et al.
Published: (2024)
Sequential Attention Source Identification Based on Feature Representation
by: Hou, Dongpeng, et al.
Published: (2023)
by: Hou, Dongpeng, et al.
Published: (2023)
A Unified Density Operator View of Flow Control and Merging
by: De Santi, Riccardo, et al.
Published: (2026)
by: De Santi, Riccardo, et al.
Published: (2026)
Stable Trajectory Clustering: An Efficient Split and Merge Algorithm
by: Rahmani, Atieh, et al.
Published: (2025)
by: Rahmani, Atieh, et al.
Published: (2025)
MOMA: Masked Orthogonal Matrix Alignment for Zero-Additional-Parameter Model Merging
by: Kong, Fanshuang, et al.
Published: (2024)
by: Kong, Fanshuang, et al.
Published: (2024)
Retraining-Free Merging of Sparse MoE via Hierarchical Clustering
by: Chen, I-Chun, et al.
Published: (2024)
by: Chen, I-Chun, et al.
Published: (2024)
A New Index for Clustering Evaluation Based on Density Estimation
by: Liu, Gangli
Published: (2022)
by: Liu, Gangli
Published: (2022)
NAN: A Training-Free Solution to Coefficient Estimation in Model Merging
by: Si, Chongjie, et al.
Published: (2025)
by: Si, Chongjie, et al.
Published: (2025)
CavMerge: Merging K-means Based on Local Log-Concavity
by: Qiao, Zhili, et al.
Published: (2026)
by: Qiao, Zhili, et al.
Published: (2026)
Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach
by: Pan, Minting, et al.
Published: (2025)
by: Pan, Minting, et al.
Published: (2025)
PSO-Merging: Merging Models Based on Particle Swarm Optimization
by: Zhang, Kehao, et al.
Published: (2025)
by: Zhang, Kehao, et al.
Published: (2025)
Similar Items
-
Fast Semi-supervised Learning on Large Graphs: An Improved Green-function Method
by: Nie, Feiping, et al.
Published: (2024) -
Dual-Bounded Nonlinear Optimal Transport for Size Constrained Min Cut Clustering
by: Xie, Fangyuan, et al.
Published: (2025) -
A Greedy Strategy for Graph Cut
by: Nie, Feiping, et al.
Published: (2024) -
Robust Capped lp-Norm Support Vector Ordinal Regression
by: Xiang, Haorui, et al.
Published: (2024) -
Adaptive Fuzzy C-Means with Graph Embedding
by: Chen, Qiang, et al.
Published: (2024)