22 search results - page 3 / 5 » Learning Weighted Metrics to Minimize Nearest-Neighbor Class... |
ML
2006
ACM
13 years 5 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, ...
ICML
2008
IEEE
14 years 6 months ago
2008
IEEE
In this paper, we consider a smoothing kernelbased classification rule and propose an algorithm for optimizing the performance of the rule by learning the bandwidth of the smoothi...
NN
2000
Springer
13 years 5 months ago
2000
Springer
Piecewise-linear (PWL) neural networks are widely known for their amenability to digital implementation. This paper presents a new algorithm for learning in PWL networks consistin...
CDC
2009
IEEE
13 years 6 months ago
2009
IEEE
We consider the multi-class classification problem, based on vector observation sequences, where the conditional (given class observations) probability distributions for each class...
ICCV
2009
IEEE
13 years 3 months ago
2009
IEEE
The varying object appearance and unlabeled data from new frames are always the challenging problem in object tracking. Recently machine learning methods are widely applied to tra...