5463 search results - page 225 / 1093 » Evaluating algorithms that learn from data streams |
168
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ECCV
2010
Springer
15 years 11 months ago
2010
Springer
We show that, from the output of a simple 3D human pose tracker one can infer physical attributes (e.g., gender and weight) and aspects of mental state (e.g., happiness or sadness)...
212
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ACCV
2006
Springer
15 years 8 months ago
2006
Springer
Abstract. We propose an algorithm for Sparse Bayesian Classification for multi-class problems using Automatic Relevance Determination(ARD). Unlike other approaches which treat mult...
180
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ICPR
2008
IEEE
16 years 7 months ago
2008
IEEE
Multiple observation improves the performance of 3D object classification. However, since the distribution of feature vectors obtained from multiple view points have strong nonlin...
191
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KDD
1998
ACM
15 years 10 months ago
1998
ACM
Learning to predict rare events from sequences of events with categorical features is an important, real-world, problem that existing statistical and machine learning methods are ...
180
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CIARP
2006
Springer
15 years 8 months ago
2006
Springer
The Neural Gas (NG) is a Vector Quantization technique where a set of prototypes self organize to represent the topology structure of the data. The learning algorithm of the Neural...