625 search results - page 21 / 125 » Improved Phishing Detection using Model-Based Features |
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
Feature subset selection, applied as a pre-processing step to machine learning, is valuable in dimensionality reduction, eliminating irrelevant data and improving classifier perfo...
BMCBI
2004
13 years 7 months ago
2004
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
FGR
2008
IEEE
14 years 2 months ago
2008
IEEE
Many facial image analysis methods rely on learningbased techniques such as Adaboost or SVMs to project classifiers based on the selection of local image filters (e.g., Haar and...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
Feature misalignment in object detection refers to
the phenomenon that features which re up in some
positive detection windows do not re up in other pos-
itive detection windo...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
Most image understanding algorithms begin with the extraction of information thought to be relevant to the particular task. This is commonly known as feature extraction and has, u...