50 search results - page 9 / 10 » Learning Dynamic Naive Bayesian Classifiers |
CIVR
2003
Springer
13 years 10 months ago
2003
Springer
The most expressive way humans display emotions is through facial expressions. In this work we report on several advances we have made in building a system for classification of f...
ICML
2004
IEEE
14 years 6 months ago
2004
IEEE
Multi-view algorithms, such as co-training and co-EM, utilize unlabeled data when the available attributes can be split into independent and compatible subsets. Co-EM outperforms ...
ICONIP
2008
13 years 6 months ago
2008
In this paper, we present the performance of machine learning-based methods for detection of phishing sites. We employ 9 machine learning techniques including AdaBoost, Bagging, S...
ICML
2006
IEEE
14 years 6 months ago
2006
IEEE
Semi-naive Bayesian classifiers seek to retain the numerous strengths of naive Bayes while reducing error by weakening the attribute independence assumption. Backwards Sequential ...
ICML
2000
IEEE
14 years 6 months ago
2000
IEEE
We consider the problem of unsupervised classification of temporal sequences of facial expressions in video. This problem arises in the design of an adaptive visual agent, which m...