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» Strong Separation of Learning Classes
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ICDE
2008
IEEE
203views Database» more  ICDE 2008»
14 years 8 months ago
Training Linear Discriminant Analysis in Linear Time
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. It has been widely used in many fields of information proces...
Deng Cai, Xiaofei He, Jiawei Han
ICDM
2009
IEEE
120views Data Mining» more  ICDM 2009»
14 years 2 months ago
Least Square Incremental Linear Discriminant Analysis
Abstract—Linear discriminant analysis (LDA) is a wellknown dimension reduction approach, which projects highdimensional data into a low-dimensional space with the best separation...
Li-Ping Liu, Yuan Jiang, Zhi-Hua Zhou
ISBI
2007
IEEE
14 years 1 months ago
Probabilistic Segmentation of Brain Tumors Based on Multi-Modality Magnetic Resonance Images
In this paper, multi-modal Magnetic Resonance (MR) images are integrated into a tissue profile that aims at differentiating tumor components, edema and normal tissue. This is achi...
Hongmin Cai, Ragini Verma, Yangming Ou, Seung-koo ...
IBPRIA
2007
Springer
14 years 1 months ago
Handwritten Symbol Recognition by a Boosted Blurred Shape Model with Error Correction
One of the major difficulties of handwriting recognition is the variability among symbols because of the different writer styles. In this paper we introduce the boosting of blurre...
Alicia Fornés, Sergio Escalera, Josep Llad&...
ER
2004
Springer
106views Database» more  ER 2004»
14 years 24 days ago
Use of Tabular Analysis Method to Construct UML Sequence Diagrams
A sequence diagram in UML is used to model interactions among objects that participate in a use case. Developing a sequence diagram is complex; our experience shows that novice dev...
Margaret Hilsbos, Il-Yeol Song