154 search results - page 8 / 31 » Feature Extraction for Outlier Detection in High-Dimensional... |
ACCV
2007
Springer
14 years 1 months ago
2007
Springer
This paper addresses gesture recognition under small sample size, where direct use of traditional classifiers is difficult due to high dimensionality of input space. We propose a ...
ICMCS
2006
IEEE
14 years 1 months ago
2006
IEEE
Content-based Image retrieval has become an important part of information retrieval technology. Images can be viewed as high dimensional data and are usually represented by their ...
NIPS
2000
13 years 8 months ago
2000
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
SCHOLARPEDIA
2008
13 years 5 months ago
2008
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
ICPR
2000
IEEE
14 years 8 months ago
2000
IEEE
This paper addresses detection of imperfections in repetitive regular structures (textures). Humans can easily find such defects without prior knowledge of the `good' pattern...