314 search results - page 22 / 63 » Using feature construction to avoid large feature spaces in ... |
AUSAI
2005
Springer
14 years 2 months ago
2005
Springer
All the traditional PCA-based and LDA-based methods are based on the analysis of vectors. So, it is difficult to evaluate the covariance matrices in such a high-dimensional vector ...
JIIS
2006
13 years 9 months ago
2006
Kernel Canonical Correlation Analysis (KCCA) is a method of correlating linear relationship between two variables in a kernel defined feature space. A machine learning algorithm b...
CBMS
2005
IEEE
13 years 11 months ago
2005
IEEE
Inductive learning systems have been successfully applied in a number of medical domains. Nevertheless, the effective use of these systems requires data preprocessing before apply...
ICPR
2010
IEEE
13 years 7 months ago
2010
IEEE
This paper proposes, an efficient method for text independent writer identification using a codebook. The occurrence histogram of the shapes in the codebook is used to create a fea...
ICCV
2007
IEEE
14 years 3 months ago
2007
IEEE
Given a query image of an object, our objective is to retrieve all instances of that object in a large (1M+) image database. We adopt the bag-of-visual-words architecture which ha...