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» Learning Object Shape: From Drawings to Images
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CVPR
2004
IEEE
16 years 1 months ago
A Graphical Model Framework for Coupling MRFs and Deformable Models
This paper proposes a new framework for image segmentation based on the integration of MRFs and deformable models using graphical models. We first construct a graphical model to r...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
98
Voted
ICPR
2008
IEEE
15 years 6 months ago
Grading nuclear pleomorphism on histological micrographs
A mainstay in cancer diagnostics is the classification or grading of cell nuclei based on their appearance. While the analysis of cytological samples has been automated successful...
Eric Cosatto, Matthew Miller, Hans Peter Graf, Joh...
94
Voted
IJON
2006
109views more  IJON 2006»
14 years 11 months ago
Associative memory of connectivity patterns
The goal of the visual correspondence problem is to establish a connectivity pattern (a mapping) between two images such that features projected from the same scene point are conn...
Junmei Zhu, Christoph von der Malsburg
95
Voted
HAPTICS
2009
IEEE
15 years 6 months ago
Haptic stiffness identification by veterinarians and novices: A comparison
Palpation is important in both veterinary and medical health professions. It is however difficult to learn, teach and assess. More must be understood about the skills involved in ...
Neil Forrest, Sarah Baillie, Hong Z. Tan
206
Voted
ALT
2011
Springer
13 years 11 months ago
On the Expressive Power of Deep Architectures
Deep architectures are families of functions corresponding to deep circuits. Deep Learning algorithms are based on parametrizing such circuits and tuning their parameters so as to ...
Yoshua Bengio, Olivier Delalleau