371 search results - page 69 / 75 » Competitive Neural Network Training: A Multi-Resolution Appr... |
ICANN
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. This paper’s intention is to present a new approach for decomposing motion trajectories. The proposed algorithm is based on nonnegative matrix factorization, which is a...
IJCAI
2007
14 years 11 months ago
2007
Evaluation measures play an important role in machine learning because they are used not only to compare different learning algorithms, but also often as goals to optimize in cons...
ML
2006
ACM
14 years 9 months ago
2006
ACM
Backpropagation, similar to most learning algorithms that can form complex decision surfaces, is prone to overfitting. This work presents classification-based objective functions, ...
ECCV
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. Reliably extracting information from aerial imagery is a difficult problem with many practical applications. One specific case of this problem is the task of automatica...
IWANN
2005
Springer
15 years 3 months ago
2005
Springer
Boosting constructs a weighted classifier out of possibly weak learners by successively concentrating on those patterns harder to classify. While giving excellent results in many ...