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ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
16 years 3 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
CVPR
2008
IEEE
16 years 24 days ago
Accurate Eye Center Location and Tracking Using Isophote Curvature
The ubiquitous application of eye tracking is precluded by the requirement of dedicated and expensive hardware, such as infrared high definition cameras. Therefore, systems based s...
Roberto Valenti, Theo Gevers
CVPR
2003
IEEE
16 years 18 hour ago
Simultaneous Feature Selection and Classifier Training via Linear Programming: A Case Study for Face Expression Recognition
A linear programming technique is introduced that jointly performs feature selection and classifier training so that a subset of features is optimally selected together with the c...
Guodong Guo, Charles R. Dyer
ICCV
2005
IEEE
15 years 12 months ago
Structured Light in Scattering Media
Virtually all structured light methods assume that the scene and the sources are immersed in pure air and that light is neither scattered nor absorbed. Recently, however, structur...
Srinivasa G. Narasimhan, Shree K. Nayar, Bo Sun, S...
ECCV
2004
Springer
15 years 12 months ago
Morphological Operations on Matrix-Valued Images
The output of modern imaging techniques such as diffusion tensor MRI or the physical measurement of anisotropic behaviour in materials such as the stress-tensor consists of tensor-...
Bernhard Burgeth, Martin Welk, Christian Feddern, ...