1760 search results - page 137 / 352 » Learning from Partial Observations |
146
Voted
CVPR
2003
IEEE
16 years 6 months ago
2003
IEEE
This paper addresses the problem of capturing the dynamics for exemplar-based recognition systems. Traditional HMM provides a probabilistic tool to capture system dynamics and in ...
178
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AAAI
2010
15 years 5 months ago
2010
Data sparsity is a major problem for collaborative filtering (CF) techniques in recommender systems, especially for new users and items. We observe that, while our target data are...
191
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AROBOTS
2011
14 years 11 months ago
2011
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
147
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WOSP
2005
ACM
15 years 9 months ago
2005
ACM
In order to effectively validate the performance of software systems throughout their development cycle it is necessary to continuously build performance models from software mod...
120
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ICASSP
2010
IEEE
15 years 4 months ago
2010
IEEE
We propose a novel algorithm for sparse system identification in the frequency domain. Key to our result is the observation that the Fourier transform of the sparse impulse respo...