576 search results - page 41 / 116 » Structured metric learning for high dimensional problems |
126
Voted
ECML
2006
Springer
15 years 7 months ago
2006
Springer
Reinforcement learning in real-world domains suffers from three curses of dimensionality: explosions in state and action spaces, and high stochasticity. We present approaches that ...
111
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ESANN
2006
15 years 4 months ago
2006
Information visualization and visual data mining leverage the human visual system to provide insight and understanding of unorganized data. In order to scale to massive sets of hig...
119
Voted
CVPR
2008
IEEE
16 years 5 months ago
2008
IEEE
We present a novel approach to non-rigid structure from motion (NRSFM) from an orthographic video sequence, based on a new interpretation of the problem. Existing approaches assum...
140
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GRC
2010
IEEE
15 years 4 months ago
2010
IEEE
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
116
Voted
BMVC
2010
15 years 1 months ago
2010
In this paper we address the problem of recognising interactions between two people in realistic scenarios for video retrieval purposes. We develop a per-person descriptor that us...