Clustering
From Similarity to Superiority: Channel Clustering for Time Series Forecasting Jialin Chen 1, Jan Eric Lenssen
Time series forecasting has attracted significant attention in recent decades.
Geometric Analysis of Nonlinear Manifold Clustering
Manifold clustering is an important problem in motion and video segmentation, natural image clustering, and other applications where high-dimensional data lie on multiple, low-dimensional, nonlinear manifolds.
Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandits
SOI by directly leveraging human feedback without being restricted by a predefined reward model nor cumbersome model selection.
Clustering for Continuous Event-based Eye Tracking Supplemental
Typically, human gaze movements are influenced by the effect of head movements i.e., the relationship
EyeGraph: Modularity-aware Spatio Temporal Graph Clustering for Continuous Event-based Eye Tracking
Our core idea is depicted in Figure 1.
The Fairness-Quality Trade-off in Clustering
Fairness in clustering has been considered extensively in the past; however, the trade-off between the two objectives -- e.g., can we sacrifice just a little in the quality of the clustering to significantly increase fairness, or vice-versa?
Learning segmentation from point trajectories
Segmentation, the task of delineating and isolating distinct objects, is a fundamental problem in computer vision. Much of the current approaches are supervised, relying on expensive manual annotations.
GO4Align: Group Optimization for Multi-Task Alignment
Multi-task learning is a promising paradigm for handling several tasks simultaneously using a unified architecture.
Proportional Fairness in Clustering: A Social Choice Perspective
We study the proportional clustering problem of Chen et al. (ICML '19) and relate