14 search results - page 1 / 3 » Feature Extraction by Maximizing the Average Neighborhood Ma... |
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
A novel algorithm called Average Neighborhood Margin Maximization (ANMM) is proposed for supervised linear feature extraction. For each data point, ANMM aims at pulling the neighb...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
Maximum Margin Criterion (MMC) based Feature Extraction method is more efficient than LDA for calculating the discriminant vectors since it does not need to calculate the inverse ...
BMCBI
2010
13 years 5 months ago
2010
Background: Feature gene extraction is a fundamental issue in microarray-based biomarker discovery. It is normally treated as an optimization problem of finding the best predictiv...
TKDE
2008
13 years 4 months ago
2008
One of the fundamental problems in Content-Based Image Retrieval (CBIR) has been the gap between low-level visual features and high-level semantic concepts. To narrow down this gap...
TIP
2010
12 years 11 months ago
2010
This paper addresses variational supervised texture segmentation. The main contributions are twofold. First, the proposed method circumvents a major problem related to classical t...