794 search results - page 5 / 159 » Optimization Techniques for Semi-Supervised Support Vector M... |
120
click to vote
Publication
Registration of pre-operative 3D volume dataset and intra-operative 2D images gradually becomes an important technique to assist radiologists in diagnosing complicated diseases. In...
148
Voted
SYNASC
2006
IEEE
15 years 9 months ago
2006
IEEE
Evolutionary support vector machines (ESVMs) are a novel technique that assimilates the learning engine of the state-of-the-art support vector machines (SVMs) but evolves the coef...
173
click to vote
CVPR
2001
IEEE
16 years 5 months ago
2001
IEEE
To utilize CT or MRI images for computer aided diagnosis applications, robust features that represent 3-D image data need to be constructed and subsequently used by a classificati...
143
Voted
TNN
2010
14 years 10 months ago
2010
We propose a multiple incremental decremental algorithm of Support Vector Machine (SVM). Conventional single incremental decremental SVM can update the trained model efficiently w...
133
Voted
CIKM
2004
Springer
15 years 9 months ago
2004
Springer
Automatically categorizing documents into pre-defined topic hierarchies or taxonomies is a crucial step in knowledge and content management. Standard machine learning techniques ...