Sciweavers

766 search results - page 19 / 154
» Active Support Vector Machine Classification
Sort
View
AUSDM
2006
Springer
177views Data Mining» more  AUSDM 2006»
15 years 2 months ago
On The Optimal Working Set Size in Serial and Parallel Support Vector Machine Learning With The Decomposition Algorithm
The support vector machine (SVM) is a wellestablished and accurate supervised learning method for the classification of data in various application fields. The statistical learnin...
Tatjana Eitrich, Bruno Lang
SAINT
2003
IEEE
15 years 4 months ago
Identifying Junk Electronic Mail in Microsoft Outlook with a Support Vector Machine
In this paper, we utilize a simple support vector machine to identify commercial electronic mail. The use of a personalized dictionary for model training provided a classification...
Matthew Woitaszek, Muhammad Shaaban, Roy Czernikow...
ICDAR
2005
IEEE
15 years 4 months ago
A Hierarchical Classifier Using New Support Vector Machine
A binary hierarchical classifier is proposed to solve the multi-class classification problem. We also require rejection of non-target inputs, which thus producing a very difficult...
Yu-Chiang Frank Wang, David Casasent
BMCBI
2006
158views more  BMCBI 2006»
14 years 11 months ago
Parallelization of multicategory support vector machines (PMC-SVM) for classifying microarray data
Background: Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of data classification problems. Since the p...
Chaoyang Zhang, Peng Li, Arun Rajendran, Youping D...
CVPR
2001
IEEE
16 years 1 months ago
Support Vector Tracking
Support Vector Tracking (SVT) integrates the Support Vector Machine (SVM) classifier into an optic-flow-based tracker. Instead of minimizing an intensity difference function betwee...
Shai Avidan