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ICDAR
2003
IEEE
14 years 27 days ago
A Novel Feature Extraction Technique for the Recognition of Segmented Handwritten Characters
High accuracy character recognition techniques can provide useful information for segmentation-based handwritten word recognition systems. This research describes neural network-b...
Michael Blumenstein, Brijesh Verma, H. Basli
ICIP
2009
IEEE
14 years 8 months ago
Scale-robust Feature Extraction For Face Recognition
In video surveillance, the sizes of face images are very small. However, few works have been done to investigate scalerobust face recognition. Our experiments on appearancebased m...
NIPS
2008
13 years 9 months ago
Robust Kernel Principal Component Analysis
Kernel Principal Component Analysis (KPCA) is a popular generalization of linear PCA that allows non-linear feature extraction. In KPCA, data in the input space is mapped to highe...
Minh Hoai Nguyen, Fernando De la Torre
ICASSP
2008
IEEE
14 years 2 months ago
A study of using locality preserving projections for feature extraction in speech recognition
This paper presents a new approach to feature analysis in automatic speech recognition (ASR) based on locality preserving projections (LPP). LPP is a manifold based dimensionality...
Yun Tang, Richard Rose
IEEECIT
2010
IEEE
13 years 6 months ago
Concept and Prototype for a Real-Time Enabled Publish/Subscribe System
—Distributed computing systems often strive to decouple their communicating components (threads on a single node, or nodes in a network) from each other with respect to time, spa...
Matthias Andree, Alexander Gebel, Holger Karl