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ICCV
2009
IEEE
15 years 2 months ago
Semi-Supervised Random Forests
Random Forests (RFs) have become commonplace in many computer vision applications. Their popularity is mainly driven by their high computational efficiency during both training ...
Christian Leistner, Amir Saffari, Jakob Santner, H...
PR
2006
164views more  PR 2006»
13 years 9 months ago
Locally linear metric adaptation with application to semi-supervised clustering and image retrieval
Many computer vision and pattern recognition algorithms are very sensitive to the choice of an appropriate distance metric. Some recent research sought to address a variant of the...
Hong Chang, Dit-Yan Yeung
TIP
1998
456views more  TIP 1998»
12 years 5 months ago
Snakes, Shapes, and Gradient Vector Flow
Snakes, or active contours, are used extensively in computer vision and image processing applications, particularly to locate object boundaries. Problems associated with initiali...
Chenyang Xu, Jerry L. Prince
ICCV
2001
IEEE
14 years 11 months ago
JetStream: Probabilistic Contour Extraction with Particles
The problem of extracting continuous structures from noisy or cluttered images is a difficult one. Successful extraction depends critically on the ability to balance prior constra...
Andrew Blake, Michel Gangnet, Patrick Pérez
ICPR
2006
IEEE
14 years 10 months ago
Real-time Camera Pose and Focal Length Estimation
This paper presents a novel approach to estimate the changing internal and external parameters of the camera in real time using a few 3D-2D point correspondences. We approach the ...
Sumit Jain, Ulrich Neumann