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CVPR
2005
IEEE
14 years 9 months ago
Local Discriminant Embedding and Its Variants
We present a new approach, called local discriminant embedding (LDE), to manifold learning and pattern classification. In our framework, the neighbor and class relations of data a...
Hwann-Tzong Chen, Huang-Wei Chang, Tyng-Luh Liu
CVPR
2006
IEEE
14 years 9 months ago
Selecting Principal Components in a Two-Stage LDA Algorithm
Linear Discriminant Analysis (LDA) is a well-known and important tool in pattern recognition with potential applications in many areas of research. The most famous and used formul...
Aleix M. Martínez, Manli Zhu
CORR
2010
Springer
219views Education» more  CORR 2010»
13 years 7 months ago
Finding Sequential Patterns from Large Sequence Data
Data mining is the task of discovering interesting patterns from large amounts of data. There are many data mining tasks, such as classification, clustering, association rule mini...
Mahdi Esmaeili, Fazekas Gabor
ISMIR
2004
Springer
149views Music» more  ISMIR 2004»
14 years 27 days ago
Indexing and Retrieval of Music Documents through Pattern Analysis and Data Fusion Techniques
One of the challenges of music information retrieval is the automatic extraction of effective content descriptors of music documents, which can be used at indexing and at retrieva...
Giovanna Neve, Nicola Orio
ICDAR
2007
IEEE
14 years 1 months ago
Handwritten Chinese Character Recognition Using Modified LDA and Kernel FDA
The effectiveness of kernel fisher discrimination analysis (KFDA) has been demonstrated by many pattern recognition applications. However, due to the large size of Gram matrix to ...
D. Yang, L. Jin