109 search results - page 3 / 22 » Dirichlet component analysis: feature extraction for composi... |
IGARSS
2009
13 years 4 months ago
2009
Kernel Principal Component Analysis (KPCA) is investigated for feature extraction from hyperspectral remotesensing data. Features extracted using KPCA are used to construct the Ex...
ICUIMC
2009
ACM
14 years 1 months ago
2009
ACM
Although documents have hundreds of thousands of unique words, only a small number of words are significantly useful for intelligent services. For this reason, feature extraction ...
PAMI
2008
13 years 6 months ago
2008
Beyond conventional linear and kernel-based feature extraction, we present a more generalized formulation for feature extraction in this paper. Two representative algorithms using ...
BIBM
2010
IEEE
13 years 4 months ago
2010
IEEE
Recently, the concept of a species containing both core and distributed genes, known as the supra- or pangenome theory, has been introduced. In this paper, we aim to develop a new ...
ICDAR
2009
IEEE
13 years 4 months ago
2009
IEEE
We report an automatic feature discovery method that achieves results comparable to a manually chosen, larger feature set on a document image content extraction problem: the locat...