4660 search results - page 214 / 932 » Learning from imperfect data |
179
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TCSV
2008
15 years 6 months ago
2008
This paper presents a graphical model for learning and recognizing human actions. Specifically, we propose to encode actions in a weighted directed graph, referred to as action gra...
175
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ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
In many machine learning applications, like Brain - Computer Interfaces (BCI), only high-dimensional noisy data are available rendering the discrimination task non-trivial. In thi...
190
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NIPS
2008
15 years 8 months ago
2008
Inspired by the hierarchical hidden Markov models (HHMM), we present the hierarchical semi-Markov conditional random field (HSCRF), a generalisation of embedded undirected Markov ...
139
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
We present a new method to estimate the intrinsic dimensionality of a submanifold M in Rd from random samples. The method is based on the convergence rates of a certain U-statisti...
150
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ESANN
2003
15 years 8 months ago
2003
Martinetz and Schulten proposed the use of a Competitive Hebbian Learning (CHL) rule to build Topology Representing Networks. From a set of units and a data distribution, a link i...