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» Maximal Vector Computation in Large Data Sets
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ITC
2003
IEEE
214views Hardware» more  ITC 2003»
14 years 1 months ago
ATPG Padding And ATE Vector Repeat Per Port For Reducing Test Data Volume
This paper presents an approach for reducing the test data volume that has to be stored in ATE vector memory for IC manufacturing testing. We exploit the capabilities of present A...
Harald P. E. Vranken, Friedrich Hapke, Soenke Rogg...
ICARCV
2002
IEEE
109views Robotics» more  ICARCV 2002»
14 years 24 days ago
Quantized wavelet features and support vector machines for on-road vehicle detection
The focus of this work is on the problem of feature selection and classification for on-road vehicle detection. In particular, we propose using quantized Haar wavelet features an...
Zehang Sun, George Bebis, Ronald Miller
ICANN
2001
Springer
14 years 9 days ago
Fast Training of Support Vector Machines by Extracting Boundary Data
Support vector machines have gotten wide acceptance for their high generalization ability for real world applications. But the major drawback is slow training for classification p...
Shigeo Abe, Takuya Inoue
CVPR
2003
IEEE
14 years 9 months ago
Classification Based on Symmetric Maximized Minimal Distance in Subspace (SMMS)
We introduce a new classification algorithm based on the concept of Symmetric Maximized Minimal distance in Subspace (SMMS). Given the training data of authentic samples and impos...
Wende Zhang, Tsuhan Chen
IJCNN
2008
IEEE
14 years 2 months ago
Multifractal feature vectors for Brain-Computer interfaces
—This article introduces a new feature vector extraction for EEG signals using multifractal analysis. The validity of the approach is asserted on real data sets from the BCI comp...
Nicolas Brodu