46 search results - page 3 / 10 » Boosted discriminant projections for nearest neighbor classi... |
CVPR
2008
IEEE
14 years 9 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...
IDA
2005
Springer
14 years 29 days ago
2005
Springer
—A simple yet effective unsupervised classification rule to discriminate between normal and abnormal data is based on accepting test objects whose nearest neighbors’ distances ...
SADM
2010
13 years 2 months ago
2010
: The k nearest neighbor classification (k-NN) is a very simple and popular method for classification. However, it suffers from a major drawback, it assumes constant local class po...
NN
2008
Springer
13 years 7 months ago
2008
Springer
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
We present a new approach, called local discriminant embedding (LDE), to manifold learning and pattern classification. In our framework, the neighbor and class relations of data a...