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ICASSP
2010
IEEE
15 years 2 months ago
Semi-Supervised Fisher Linear Discriminant (SFLD)
Supervised learning uses a training set of labeled examples to compute a classifier which is a mapping from feature vectors to class labels. The success of a learning algorithm i...
Seda Remus, Carlo Tomasi
ICML
2007
IEEE
16 years 3 months ago
On the role of tracking in stationary environments
It is often thought that learning algorithms that track the best solution, as opposed to converging to it, are important only on nonstationary problems. We present three results s...
Richard S. Sutton, Anna Koop, David Silver
CVPR
2009
IEEE
15 years 6 months ago
Learning to associate: HybridBoosted multi-target tracker for crowded scene
We propose a learning-based hierarchical approach of multi-target tracking from a single camera by progressively associating detection responses into longer and longer track fragm...
Yuan Li, Chang Huang, Ram Nevatia
IJON
2007
88views more  IJON 2007»
15 years 2 months ago
Self-organisation can generate the discontinuities in the somatosensory map
The primary somatosensory cortex contains a topographic map of the body surface, with two notable discontinuities — the representation of the face is next to that of the hands, ...
Tom Stafford, Stuart P. Wilson
TMI
1998
140views more  TMI 1998»
15 years 2 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