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TIP
2008
79views more  TIP 2008»
8 years 5 months ago
An Overview and Performance Evaluation of Classification-Based Least Squares Trained Filters
An overview of the classification-based least squares trained filters on picture quality improvement algorithms is presented. For each algorithm, the training process is unique and...
Ling Shao, Hui Zhang, Gerard de Haan
ISW
2000
Springer
8 years 8 months ago
Classification of Authentication Protocols: A Practical Approach
We propose a simple classification method for public-key based authentication protocols, which consists of identifying several basic properties leading to a large number of generic...
DongGook Park, Colin Boyd, Ed Dawson
FUZZIEEE
2007
IEEE
8 years 11 months ago
Self-Fuzzification Method According to Typicality Correlation for Classification on Tiny Data Sets
— This article presents a self-fuzzification method to enhance the settings of a Fuzzy Reasoning Classification adapted to the automated inspection of wooden boards. The supervis...
Emmanuel Schmitt, Vincent Bombardier, Patrick Char...
FGCN
2008
IEEE
153views Communications» more  FGCN 2008»
8 years 11 months ago
Experimental Study on Neuronal Spike Sorting Methods
When recording extracellular neural activity, it is often necessary to distinguish action potentials arising from distinct cells near the electrode tip, a process commonly referre...
Jianhua Dai, Xiaochun Liu, Yu Yi, Huaijian Zhang, ...
IPOM
2009
Springer
8 years 11 months ago
Traffic Classification Based on Flow Similarity
Due to the various masquerading strategies adopted by newer P2P applications to avoid detection and filtering, well-known port mapping techniques cannot guarantee their accuracy an...
Jae Yoon Chung, Byungchul Park, Young J. Won, John...
ICPR
2004
IEEE
9 years 6 months ago
Building Detection by Dempster-Shafer Fusion of LIDAR Data and Multispectral Aerial Imagery
A method for the classification of land cover in urban areas by the fusion of first and last pulse LIDAR data and multi-spectral images is presented. Apart from buildings, the cla...
Brian C. Lovell, Franz Rottensteiner, John Trinder...
ECCV
2008
Springer
9 years 7 months ago
Local Regularization for Multiclass Classification Facing Significant Intraclass Variations
We propose a new local learning scheme that is based on the principle of decisiveness: the learned classifier is expected to exhibit large variability in the direction of the test ...
Lior Wolf, Yoni Donner
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