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CLOR
2006
13 years 12 months ago
Comparison of Generative and Discriminative Techniques for Object Detection and Classification
Many approaches to object recognition are founded on probability theory, and can be broadly characterized as either generative or discriminative according to whether or not the dis...
Ilkay Ulusoy, Christopher M. Bishop
BILDMED
2008
147views Algorithms» more  BILDMED 2008»
13 years 9 months ago
Automatic Liver Segmentation Using the Random Walker Algorithm
In this paper we present a new method for fully automatic liver segmentation in computed tomography images. First, an initial set of seed points for the random walker algorithm is ...
Florian Maier, Andreas Wimmer, Grzegorz Soza, Jens...
BMVC
1998
13 years 9 months ago
Segmentation of Global Motion using Temporal Probabilistic Classification
The segmentation of pixels belonging to different moving elements within a cinematographic image sequence underpins a range of post-production special effects. In this work, the s...
P. R. Giaccone, Graeme A. Jones
ISVC
2010
Springer
13 years 6 months ago
Egocentric Visual Event Classification with Location-Based Priors
We present a method for visual classification of actions and events captured from an egocentric point of view. The method tackles the challenge of a moving camera by creating defor...
Sudeep Sundaram, Walterio W. Mayol-Cuevas
CVPR
2011
IEEE
13 years 4 months ago
Learning invariance through imitation
Supervised methods for learning an embedding aim to map high-dimensional images to a space in which perceptually similar observations have high measurable similarity. Most approac...
Graham Taylor, Ian Spiro, Rob Fergus, Christoph Br...