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» A probabilistic framework for image segmentation
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CORR
2011
Springer
199views Education» more  CORR 2011»
13 years 2 months ago
From Machine Learning to Machine Reasoning
A plausible definition of "reasoning" could be "algebraically manipulating previously acquired knowledge in order to answer a new question". This definition co...
Léon Bottou
ICPR
2010
IEEE
14 years 1 months ago
Dynamic Amelioration of Resolution Mismatches for Local Feature Based Identity Inference
While existing face recognition systems based on local features are robust to issues such as misalignment, they can exhibit accuracy degradation when comparing images of differing...
Yongkang Wong, Conrad Sanderson, Sandra Mau, Brian...
3DPVT
2004
IEEE
153views Visualization» more  3DPVT 2004»
13 years 11 months ago
Surface Reconstruction from the Projection of Points, Curves and Contours
In this paper the problem of building and reconstructing geometrical surface models from multiple calibrated images is considered. We build an appropriate statistical 3D model fro...
Jan Erik Solem, Fredrik Kahl
ICCV
1995
IEEE
13 years 11 months ago
Topologically Adaptable Snakes
This paper presents a topologically adaptable snakes model for image segmentation and object representation. The model is embedded in the framework of domain subdivision using sim...
Tim McInerney, Demetri Terzopoulos
IPMI
2007
Springer
14 years 8 months ago
Rao-Blackwellized Marginal Particle Filtering for Multiple Object Tracking in Molecular Bioimaging
Modern live cell fluorescence microscopy imaging systems, used abundantly for studying intra-cellular processes in vivo, generate vast amounts of noisy image data that cannot be pr...
Ihor Smal, Katharina Draegestein, Niels Galjart, W...