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CVPR
2009
IEEE
17 years 2 months ago
What's It Going to Cost You?: Predicting Effort vs. Informativeness for Multi-Label Image Annotations
Active learning strategies can be useful when manual labeling effort is scarce, as they select the most informative examples to be annotated first. However, for visual category ...
Sudheendra Vijayanarasimhan (University of Texas a...
CVPR
2009
IEEE
17 years 1 months ago
A Graph-based Approach to Skin Mole Matching Incorporating Template-Normalized Coordinates
Density of moles is a strong predictor of malignant melanoma. Some dermatologists advocate periodic fullbody scan for high-risk patients. In current practice, physicians compare...
Ghassan Hamarneh, Hengameh Mirzaalian, Tim K. Lee
CVPR
2009
IEEE
17 years 1 months ago
Tracking of Cell Populations to Understand their Spatio-Temporal Behavior in Response to Physical Stimuli
We have developed methods for segmentation and tracking of cells in time-lapse phase-contrast microscopy images. Our multi-object Bayesian algorithm detects and tracks large num...
David House, Matthew Walker, Zheng Wu, Joyce Wong,...
ICCV
2009
IEEE
16 years 12 months ago
Template-Free Monocular Reconstruction of Deformable Surfaces
It has recently been shown that deformable 3D surfaces could be recovered from single video streams. However, ex- isting techniques either require a reference view in which the ...
Aydin Varol, Mathieu Salzmann, Engin Tola, Pascal ...
CVPR
1997
IEEE
16 years 9 months ago
Representation Of Objects In A Volumetric Frequency Domain With Application To Face Recognition
A novel method for representing 3-D objects that unifies viewer and model centered object representations is presented. A unified 3-D frequency-domain representation (called Volum...
Jezekiel Ben-Arie, Dibyendu Nandy
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