Research map / Learning theory and algorithms / Clustering
Probabilistic Temporal Subspace Clustering
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use GP-GEM probabilistic temporal clustering instead of TSC | Probabilistic Temporal Subspace Clustering · Mocap Subject-13 | ACC: 67.92 ± 2.00 -> 74.75 ± 2.22 | Helped |
| Use GP-GEM probabilistic temporal clustering instead of TSC | Probabilistic Temporal Subspace Clustering · Mocap Subject-80 | ACC: 66.33 ± 2.33 -> 65.82 ± 2.49 | Hurt |
| Use GP-GEM probabilistic temporal clustering instead of TSC | Probabilistic Temporal Subspace Clustering · Mocap Subject-49 | NMI: 0.9015 ± 0.015 -> 0.9812 ± 0.019 | Helped |
| Use GP-GEM probabilistic temporal clustering instead of TSC | Probabilistic Temporal Subspace Clustering · Ballet | ACC: 49.56 ± 2.31 -> 53.46 ± 2.99 | Helped |
| Use GP-GEM probabilistic temporal clustering instead of TSC | Probabilistic Temporal Subspace Clustering · Ballet | NMI: 0.5031 ± 0.013 -> 0.6206 ± 0.022 | Helped |
| Use GP-GEM probabilistic temporal clustering instead of TSC | Probabilistic Temporal Subspace Clustering · Keck | ACC: 56.87 ± 2.92 -> 55.49 ± 2.43 | Hurt |
| Use GP-GEM probabilistic temporal clustering instead of TSC | Probabilistic Temporal Subspace Clustering · Keck | NMI: 0.6583 ± 0.020 -> 0.6711 ± 0.027 | Helped |
| Use probabilistic modeling that handles missing features explicitly rather than zero-filling for competing methods | Probabilistic Temporal Subspace Clustering · Mocap Subject-49, Ballet, and Keck with MAR and MNAR missing features | ACC | Helped |
Closest papers by meaning
- Learning Transferable Subspace for Human Motion Segmentation (AAAI 2018 · similarity 0.93)
- Leveraging Union of Subspace Structure to Improve Constrained Clustering (ICML 2017 · similarity 0.88)
- Neural Collaborative Subspace Clustering (ICML 2019 · similarity 0.88)
- Exploring a Principled Framework for Deep Subspace Clustering (ICLR 2025 · similarity 0.87)
- Learned Trajectory Embedding for Subspace Clustering (CVPR 2024 · similarity 0.87)
- Learning Segmentation from Point Trajectories (NeurIPS 2024 · similarity 0.85)
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