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TMI
2010
172views more  TMI 2010»
13 years 5 months ago
Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation
Abstract— We compared four automated methods for hippocampal segmentation using different machine learning algorithms (1) hierarchical AdaBoost, (2) Support Vector Machines (SVM)...
Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova...
IJCNN
2000
IEEE
13 years 11 months ago
Support Vector Machine for Regression and Applications to Financial Forecasting
The main purpose of this paper is to compare the support vector machine (SVM) developed by Vapnik with other techniques such as Backpropagation and Radial Basis Function (RBF) Net...
Theodore B. Trafalis, Huseyin Ince
IMECS
2007
13 years 8 months ago
Support Vector Machine for Cardiac Beat Detection in Single Lead Electrocardiogram
— Among all ECG components, QRS complex is the most significant feature. Entropy based method for the detection of QRS complexes (cardiac beat) in the single lead Electrocardiogr...
Sarabjeet Singh Mehta, Nitin Shivappa Lingayat
IMCSIT
2010
13 years 4 months ago
The development features of the face recognition system
Nowadays personal identification is a very important issue. There is a wide range of applications in different spheres, such as video surveillance security systems, control of docu...
Rauf Sadykhov, Igor Frolov
IJCV
2000
136views more  IJCV 2000»
13 years 7 months ago
A Trainable System for Object Detection
This paper presents a general, trainable system for object detection in unconstrained, cluttered scenes. The system derives much of its power from a representation that describes a...
Constantine Papageorgiou, Tomaso Poggio