332 search results - page 7 / 67 » Patient Fall Detection using Support Vector Machines |
TMI
2010
13 years 7 months ago
2010
Abstract— We compared four automated methods for hippocampal segmentation using different machine learning algorithms (1) hierarchical AdaBoost, (2) Support Vector Machines (SVM)...
SSWMC
2004
13 years 10 months ago
2004
Steganographic messages can be embedded into digital images in ways that are imperceptible to the human eye. These messages, however, alter the underlying statistics of an image. ...
RECOMB
2002
Springer
14 years 9 months ago
2002
Springer
One key element in understanding the molecular machinery of the cell is to understand the meaning, or function, of each protein encoded in the genome. A very successful means of i...
ICPR
2002
IEEE
14 years 10 months ago
2002
IEEE
In this paper we address two aspects related to the exploitation of Support Vector Machines (SVM) for classification in real application domains, such as the detection of objects ...
ACIVS
2005
Springer
14 years 2 months ago
2005
Springer
We describe an automated system that classifies gender by utilising a set of human gait data. The gender classification system consists of three stages: i) detection and extraction...