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» Feature versus model based noise robustness
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ICIAR
2004
Springer
14 years 1 months ago
Robust Dichromatic Colour Constancy
Abstract. A novel colour constancy algorithm that utilises both physical and statistical knowledge is introduced. A physics-based model of image formation is combined with a statis...
Gerald Schaefer
INTERSPEECH
2010
13 years 2 months ago
Modeling pronunciation variation with context-dependent articulatory feature decision trees
We consider the problem of predicting the surface pronunciations of a word in conversational speech, using a model of pronunciation variation based on articulatory features. We bu...
Sam Bowman, Karen Livescu
VMV
2001
248views Visualization» more  VMV 2001»
13 years 9 months ago
Using an Extended Hough Transform Combined with a Kalman Filter to Segment Tubular Structures in 3D Medical Images
We present a new approach for the coarse segmentation of tubular structures in 3D image data. Our algorithm, which requires only few initial values and minimal user interaction, c...
Thorsten Behrens, Karl Rohr, H. Siegfried Stiehl
ICPR
2004
IEEE
14 years 8 months ago
Pruning Local Feature Correspondences Using Shape Context
We propose a novel approach to improve the distinctiveness of local image features without significantly affecting their robustness with respect to image deformations. Local image...
Allan D. Jepson, Gustavo Carneiro
BMCBI
2006
140views more  BMCBI 2006»
13 years 7 months ago
Feature selection using Haar wavelet power spectrum
Background: Feature selection is an approach to overcome the 'curse of dimensionality' in complex researches like disease classification using microarrays. Statistical m...
Prabakaran Subramani, Rajendra Sahu, Shekhar Verma