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ENGL
2007
92views more  ENGL 2007»
15 years 6 months ago
K-Mutual Nearest Neighbour Approach for Clustering Two-Dimensional Shapes Described by Fuzzy-Symbolic Features
Abstract— In this paper, a new method of representing twodimensional shapes using fuzzy-symbolic features and a similarity measure defined over fuzzy-symbolic features useful for...
H. S. Nagendraswamy, D. S. Guru
TIP
2002
253views more  TIP 2002»
15 years 6 months ago
Image segmentation by histogram thresholding using fuzzy sets
Methods for histogram thresholding based on the minimization of a threshold-dependent criterion function might not work well for images having multimodal histograms. In this paper ...
Orlando José Tobias, Rui Seara
DICTA
2009
15 years 4 months ago
Refining Local 3D Feature Matching through Geometric Consistency for Robust Biometric Recognition
Local features are gaining popularity due to their robustness to occlusion and other variations such as minor deformation. However, using local features for recognition of biometri...
Syed M. S. Islam, Rowan Davies
CIT
2010
Springer
15 years 1 months ago
Research Quality Matters
This paper discusses how meaningful the expression `research quality' is in Universities. Measuring the quality of a research publication, it is argued, cannot be done. The is...
Ray J. Paul
CISS
2008
IEEE
16 years 1 months ago
On sparse representations of linear operators and the approximation of matrix products
—Thus far, sparse representations have been exploited largely in the context of robustly estimating functions in a noisy environment from a few measurements. In this context, the...
Mohamed-Ali Belabbas, Patrick J. Wolfe