23 search results - page 1 / 5 » Towards Optimal Naive Bayes Nearest Neighbor |
ECCV
2010
Springer
13 years 10 months ago
2010
Springer
Abstract. Naive Bayes Nearest Neighbor (NBNN) is a feature-based image classifier that achieves impressive degree of accuracy [1] by exploiting ‘Image-toClass’ distances and b...
ADMA
2005
Springer
13 years 10 months ago
2005
Springer
Accurate probability-based ranking of instances is crucial in many real-world data mining applications. KNN (k-nearest neighbor) [1] has been intensively studied as an effective c...
JCIT
2010
12 years 11 months ago
2010
Probability theory is the framework for making decision under uncertainty. In classification, Bayes' rule is used to calculate the probabilities of the classes and it is a bi...
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
State-of-the-art image classification methods require an intensive learning/training stage (using SVM, Boosting, etc.) In contrast, non-parametric Nearest-Neighbor (NN) based imag...
MLDM
2009
Springer
13 years 11 months ago
2009
Springer
This paper describes recognition of emotions of an unkown person during natural walking. As gait data is redundant, high dimensional and variable, effective feature extraction is ...