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» Learning to Classify X-Ray Images Using Relational Learning
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CVPR
2006
IEEE
14 years 10 months ago
3D People Tracking with Gaussian Process Dynamical Models
We advocate the use of Gaussian Process Dynamical Models (GPDMs) for learning human pose and motion priors for 3D people tracking. A GPDM provides a lowdimensional embedding of hu...
Raquel Urtasun, David J. Fleet, Pascal Fua
ICPR
2008
IEEE
14 years 3 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...
PAMI
2006
136views more  PAMI 2006»
13 years 8 months ago
Data Driven Image Models through Continuous Joint Alignment
This paper presents a family of techniques that we call congealing for modeling image classes from data. The idea is to start with a set of images and make them appear as similar a...
Erik G. Learned-Miller
AAAI
2000
13 years 10 months ago
Appearance-Based Obstacle Detection with Monocular Color Vision
This paper presents a new vision-based obstacle detection method for mobile robots. Each individual image pixel is classified as belonging either to an obstacle or the ground base...
Iwan Ulrich, Illah R. Nourbakhsh
MICCAI
2009
Springer
14 years 10 months ago
Topological Characterization of Signal in Brain Images Using Min-Max Diagrams
Abstract. We present a novel computational framework for characterizing signal in brain images via nonlinear pairing of critical values of the signal. Among the astronomically larg...
Moo K. Chung, Vikas Singh, Peter T. Kim, Kim M....