255 search results - page 41 / 51 » Distributed sparse linear regression |
122
Voted
AAAI
2010
15 years 1 months ago
2010
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...
158
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DICTA
2008
15 years 1 months ago
2008
This paper explores how to exploit shape information to perform object class recognition. We use a sparse partbased model to describe object categories defined by shape. The spars...
86
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JSSPP
2005
Springer
15 years 5 months ago
2005
Springer
Using historical information to predict future runs of parallel jobs has shown to be valuable in job scheduling. Trends toward more flexible jobscheduling techniques such as adapt...
ACCV
2010
Springer
14 years 7 months ago
2010
Springer
Estimating the atmospheric or meteorological visibility distance is very important for air and ground transport safety, as well as for air quality. However, there is no holistic ap...
107
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IJON
2010
14 years 7 months ago
2010
This paper presents a novel methodology to infer parameters of probabilistic models whose output noise is a Student-t distribution. The method is an extension of earlier work for ...