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» Complex Salient Regions for Computer Vision Problems
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ICPR
2004
IEEE
16 years 7 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
ICPR
2008
IEEE
16 years 23 days 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
16 years 11 days 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 8 months 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
ACIVS
2006
Springer
15 years 10 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 ...