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» Application of Level Set Methods in Computer Vision
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CVPR
2003
IEEE
16 years 9 months ago
Kernel Principal Angles for Classification Machines with Applications to Image Sequence Interpretation
We consider the problem of learning with instances defined over a space of sets of vectors. We derive a new positive definite kernel f(A B) defined over pairs of matrices A B base...
Lior Wolf, Amnon Shashua
ICPR
2008
IEEE
16 years 8 months ago
Classification of perceived running fatigue in digital sports
This paper presents methods for collecting and analyzing physiological and biomechanical data during recreational runs in order to classify an athlete's perceived fatigue sta...
Bjoern Eskofier, Florian Hoenig, Pascal Kuehner
ICPR
2008
IEEE
16 years 1 months ago
Block-diagonal form of distance matrix for region-based image retrieval
There are two substantial open issues in the field of the image retrieval: semantic gap between computationally extracted low-level features and human operated high-level concepts...
Dmitry Kinoshenko, Vladimir Mashtalir, Elena Yegor...
ICPP
2007
IEEE
16 years 1 months ago
Architectural Challenges in Memory-Intensive, Real-Time Image Forming
The real-time image forming in future, high-end synthetic aperture radar systems is an example of an application that puts new demands on computer architectures. The initial quest...
Anders Ahlander, H. Hellsten, K. Lind, J. Lindgren...
ICCV
2009
IEEE
15 years 5 months ago
Associative hierarchical CRFs for object class image segmentation
Most methods for object class segmentation are formulated as a labelling problem over a single choice of quantisation of an image space - pixels, segments or group of segments. It...
Lubor Ladicky, Christopher Russell, Pushmeet Kohli...