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PAMI
2010
248views more  PAMI 2010»
15 years 1 months ago
Coupled Prediction Classification for Robust Visual Tracking
—This paper addresses the problem of robust template tracking in image sequences. Our work falls within the discriminative framework in which the observations at each frame yield...
Ioannis Patras, Edwin R. Hancock
160
Voted
CVPR
2011
IEEE
14 years 11 months ago
On Deep Generative Models with Applications to Recognition
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
Marc', Aurelio Ranzato, Joshua Susskind, Volodymyr...
IWANN
2009
Springer
15 years 10 months ago
Self Organized Dynamic Tree Neural Network
Cluster analysis is a technique used in a variety of fields. There are currently various algorithms used for grouping elements that are based on different methods including partiti...
Juan Francisco de Paz, Sara Rodríguez, Javi...
FTCGV
2011
122views more  FTCGV 2011»
14 years 6 months ago
Structured Learning and Prediction in Computer Vision
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structur...
Sebastian Nowozin, Christoph H. Lampert
128
Voted
TMI
1998
140views more  TMI 1998»
15 years 3 months ago
Automated Seeded Lesion Segmentation on Digital Mammograms
Abstract—Segmenting lesions is a vital step in many computerized mass-detection schemes for digital (or digitized) mammograms. We have developed two novel lesion segmentation tec...
Matthew A. Kupinski, Maryellen L. Giger