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NPL
2006
90views more  NPL 2006»
13 years 10 months ago
Hierarchical Incremental Class Learning with Reduced Pattern Training
Hierarchical Incremental Class Learning (HICL) is a new task decomposition method that addresses the pattern classification problem. HICL is proven to be a good classifier but clos...
Sheng Uei Guan, Chunyu Bao, Ru-Tian Sun
AUSAI
2008
Springer
13 years 12 months ago
Cross-Domain Knowledge Transfer Using Semi-supervised Classification
Traditional text classification algorithms are based on a basic assumption: the training and test data should hold the same distribution. However, this identical distribution assum...
Yi Zhen, Chunping Li

Publication
270views
12 years 8 months ago
A Data Hiding Scheme Based on LBPROT Pattern
Texture classification is mainly used for segmentation of texture regions and content-based access to image databases. Lately these texture classification patterns have been appl...
E. E. Varsaki, V. Fotopoulos, A. N. Skodras
KAIS
2006
111views more  KAIS 2006»
13 years 10 months ago
Real-time classification of variable length multi-attribute motions
Multi-attribute motion data can be generated in many applications/ devices, such as motion capture devices and animations. It can have dozens of attributes, thousands of rows, and ...
Chuanjun Li, Latifur Khan, Balakrishnan Prabhakara...
LREC
2008
141views Education» more  LREC 2008»
13 years 11 months ago
New Resources for Document Classification, Analysis and Translation Technologies
The goal of the DARPA MADCAT (Multilingual Automatic Document Classification Analysis and Translation) Program is to automatically convert foreign language text images into Englis...
Stephanie Strassel, Lauren Friedman, Safa Ismael, ...