16 search results - page 3 / 4 » Data mining techniques for feature selection in blood cell r... |
PAAPP
2007
13 years 5 months ago
2007
The paper is devoted to the problem of estimating the number of people visible in a camera. It uses as features a portion of foreground pixels in each cell of a rectangular grid. ...
CVPR
2008
IEEE
14 years 8 months ago
2008
IEEE
The selection of weak classifiers is critical to the success of boosting techniques. Poor weak classifiers do not perform better than random guess, thus cannot help decrease the t...
VIS
2004
IEEE
14 years 7 months ago
2004
IEEE
We present a novel surface reconstruction algorithm that can recover high-quality surfaces from noisy and defective data sets without any normal or orientation information. A set ...
RSFDGRC
2005
Springer
13 years 11 months ago
2005
Springer
Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...
WWW
2004
ACM
14 years 6 months ago
2004
ACM
The ability to determine what day-to-day activity (such as cooking pasta, taking a pill, or watching a video) a person is performing is of interest in many application domains. A ...