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Korean Linux Documentation Project
Known as:
KLDP
The Korean Linux Documentation Project (KLDP) is a community of programmers whose goal is to create or translate open source and Linux-related…
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2010
2010
Face Recognition Using Wavelet Based Kernel Locally Discriminating Projection
S. Venkatramaphanikumar
,
K. V. Kishore
,
K. Kumar
2010
Corpus ID: 9406001
636 Abstract—Locality Preserving Projection(LPP) aims to preserve the local structure of the image space, while Principal…
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2009
2009
Measures of International Standardization in Korean Landscape Drawing Practice
Kim, Min Soo
2009
Corpus ID: 107507300
WTO/TBT aims to reduce impediments to trade resulting from differences between national regulations and standards. Where…
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2007
2007
Locally Discriminant Projection with Kernels for Feature Extraction
Junbao Li
,
S. Chu
,
Jeng‐Shyang Pan
International Conference on Advanced Data Mining…
2007
Corpus ID: 39450588
Local Preserving Projection (LPP) is an unsupervised feature extraction method which considers the nearest neighbor information…
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2007
2007
Laplacian Discriminant Projection with Optimized Kernels for Supervised Feature Extraction and Classification
Junbao Li
,
S. Chu
,
Jeng‐Shyang Pan
International Conference on Intelligent Systems…
2007
Corpus ID: 15614953
A novel feature extraction method, namely Laplacian discriminant projection with optimized kernels (KLDP-Opt) algorithm is…
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