237 search results - page 15 / 48 » An experimental study on pedestrian classification using loc... |
JIIS
2006
14 years 10 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...
SAC
2008
ACM
14 years 9 months ago
2008
ACM
In this paper we provide a study about crime scenes and its features used in criminal investigations. We argue that the crime scene provides a large set of features that can be us...
ICCV
2007
IEEE
15 years 4 months ago
2007
IEEE
In the literature of psychophysics and neurophysiology, many studies have shown that both global and local features are crucial for face representation and recognition. This paper...
CIKM
2010
Springer
14 years 7 months ago
2010
Springer
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
BMCBI
2008
14 years 10 months ago
2008
Background: Prediction of protein solvent accessibility, also called accessible surface area (ASA) prediction, is an important step for tertiary structure prediction directly from...