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FLAIRS
2004
13 years 11 months ago
Invariance of MLP Training to Input Feature De-correlation
In the neural network literature, input feature de-correlation is often referred as one pre-processing technique used to improve the MLP training speed. However, in this paper, we...
Changhua Yu, Michael T. Manry, Jiang Li
IJISTA
2008
95views more  IJISTA 2008»
13 years 10 months ago
Mining manufacturing data using genetic algorithm-based feature set decomposition
Data mining methods can be used for discovering interesting patterns in manufacturing databases. These patterns can be used to improve manufacturing processes. However, data accum...
Lior Rokach
ISBI
2011
IEEE
13 years 1 months ago
An automatic feature based model for cell segmentation from confocal microscopy volumes
We present a model for the automated segmentation of cells from confocal microscopy volumes of biological samples. The segmentation task for these images is exceptionally challeng...
Diana Delibaltov, Pratim Ghosh, Michael Veeman, Wi...
ICCV
2011
IEEE
12 years 10 months ago
Informative Feature Selection for Object Recognition via Sparse PCA
Bag-of-words (BoW) methods are a popular class of object recognition methods that use image features (e.g., SIFT) to form visual dictionaries and subsequent histogram vectors to r...
Nikhil Naikal, Allen Y. Yang, S. Shankar Sastry
VISUALIZATION
2000
IEEE
14 years 2 months ago
Real-world relativity: image-based special relativistic visualization
This paper describes a novel rendering technique for special relativistic visualization. It is an image-based method which allows to render high speed flights through real-world ...
Daniel Weiskopf, Daniel Kobras, Hanns Ruder