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» Complex Salient Regions for Computer Vision Problems
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72
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ICPR
2004
IEEE
15 years 11 months ago
On Classifier Domains of Competence
We study the domain of dominant competence of six popular classifiers in a space of data complexity measurements. We observe that the simplest classifiers, nearest neighbor and li...
Ester Bernadó i Mansilla, Tin Kam Ho
66
Voted
ICPR
2008
IEEE
15 years 4 months ago
Clustering-based locally linear embedding
The locally linear embedding (LLE) algorithm is considered as a powerful method for the problem of nonlinear dimensionality reduction. In this paper, first, a new method called cl...
Kanghua Hui, Chunheng Wang
ICPR
2006
IEEE
15 years 4 months ago
Class Separability in Spaces Reduced By Feature Selection
We investigated the geometrical complexity of several high-dimensional, small sample classification problems and its changes due to two popular feature selection procedures, forw...
Erinija Pranckeviciene, TinKam Ho, Ray L. Somorjai
CVPR
2000
IEEE
16 years 7 days ago
A Curve Evolution Approach to Smoothing and Segmentation Using the Mumford-Shah Functional
In this work, we approach the classic Mumford-Shah problem from a curve evolution perspective. In particular, we let a given family of curves define the boundaries between regions...
Andy Tsai, Anthony J. Yezzi, Alan S. Willsky
99
Voted
ACIVS
2006
Springer
15 years 1 months ago
Fast Multi-view Disparity Estimation for Multi-view Video Systems
Disparity estimation can be used to eliminate redundancy among different views in multi-view video compression to obtain high compression efficiency. However, the problem of high c...
Gangyi Jiang, Mei Yu, Feng Shao, You Yang, Haitao ...