Algorithms for clustering data
Algorithms for clustering data
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Nonlinear component analysis as a kernel eigenvalue problem
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IEEE Intelligent Systems
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Data-driven derivation of skills for autonomous humanoid agents
Data-driven derivation of skills for autonomous humanoid agents
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IEEE Transactions on Pattern Analysis and Machine Intelligence
Computational studies of human motion: part 1, tracking and motion synthesis
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Tracking human motion and actions for interactive robots
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IVA '07 Proceedings of the 7th international conference on Intelligent Virtual Agents
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Modeling spatial and temporal variation in motion data
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Using graph algebra to optimize neighborhood for isometric mapping
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Clustering-based nonlinear dimensionality reduction on manifold
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
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Probabilistic feature extraction from multivariate time series using spatio-temporal constraints
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Learning nonlinear manifolds from time series
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International Journal of Computer Vision
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ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Motion planning and reactive control on learnt skill manifolds
International Journal of Robotics Research
Discriminative functional analysis of human movements
Pattern Recognition Letters
OBST-based segmentation approach to financial time series
Engineering Applications of Artificial Intelligence
Construction of approximation spaces for reinforcement learning
The Journal of Machine Learning Research
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We present an extension of Isomap nonlinear dimension reduction (Tenenbaum et al., 2000) for data with both spatial and temporal relationships. Our method, ST-Isomap, augments the existing Isomap framework to consider temporal relationships in local neighborhoods that can be propagated globally via a shortest-path mechanism. Two instantiations of ST-Isomap are presented for sequentially continuous and segmented data. Results from applying ST-Isomap to real-world data collected from human motion performance and humanoid robot teleoperation are also presented.