1091 search results - page 155 / 219 » Learning Models for Predicting Recognition Performance |
135
Voted
CONCURRENCY
2007
15 years 2 months ago
2007
Abstract. The memory hierarchy plays an essential role in the performance of current computers, thus good analysis tools that help predict and understand its behavior are required....
133
Voted
EMMCVPR
2005
Springer
15 years 8 months ago
2005
Springer
This contribution proposes a compositionality architecture for visual object categorization, i.e., learning and recognizing multiple visual object classes in unsegmented, cluttered...
88
Voted
CORR
2006
Springer
15 years 2 months ago
2006
Springer
The Minimum Description Length principle for online sequence estimation/prediction in a proper learning setup is studied. If the underlying model class is discrete, then the total...
115
Voted
EPIA
2003
Springer
15 years 7 months ago
2003
Springer
Most of supervised learning algorithms assume the stability of the target concept over time. Nevertheless in many real-user modeling systems, where the data is collected over an ex...
148
Voted
ICCV
2007
IEEE
16 years 4 months ago
2007
IEEE
Convolutional networks have achieved a great deal of success in high-level vision problems such as object recognition. Here we show that they can also be used as a general method ...