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SSPR
2010
Springer
15 years 25 days ago
Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
André F. T. Martins, Manuele Bicego, Vittor...
142
Voted
ICIP
2010
IEEE
15 years 13 days ago
Combining free energy score spaces with information theoretic kernels: Application to scene classification
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
Manuele Bicego, Alessandro Perina, Vittorio Murino...
CVPR
2008
IEEE
16 years 4 months ago
Fast and robust numerical solutions to minimal problems for cameras with radial distortion
A number of minimal problems of structure from motion for cameras with radial distortion have recently been studied and solved in some cases. These problems are known to be numeri...
Karl Åström, Klas Josephson, Martin Byr...
ICCV
2007
IEEE
16 years 4 months ago
Deformable Image Mosaicing for Optical Biopsy
Traditional image mosaicing usually relies on rigid image transformations. In many medical applications, however, tissue deformation during image acquisition or 3D parallax effect...
Kevin E. Loewke, David B. Camarillo, Kenneth Salis...
134
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ICIP
1999
IEEE
16 years 4 months ago
Trainable Pedestrian Detection
Robust, fast object detection systems are critical to the success of next-generation automotive vision systems. An important criteria is that the detection system be easily config...
Constantine Papageorgiou, Tomaso Poggio