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» Selectivity Estimation using Probabilistic Models
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ECCV
1998
Springer
16 years 6 months ago
Multi-Step Procedures for the Localization of 2D and 3D Point Landmarks and Automatic ROI Size Selection
In this contribution, we are concerned with the detection and re ned localization of 3D point landmarks. We propose multi-step di erential procedures for subvoxel localization of 3...
Sönke Frantz, Karl Rohr, H. Siegfried Stiehl
178
Voted
CVPR
2012
IEEE
13 years 7 months ago
The use of on-line co-training to reduce the training set size in pattern recognition methods: Application to left ventricle seg
The use of statistical pattern recognition models to segment the left ventricle of the heart in ultrasound images has gained substantial attention over the last few years. The mai...
Gustavo Carneiro, Jacinto C. Nascimento
ICCVW
1999
Springer
15 years 9 months ago
Uncertainty Modeling for Optimal Structure from Motion
The parameters estimated by Structure from Motion SFM contain inherent indeterminacies which we call gauge freedoms. Under a perspective camera, shape and motion parameters are o...
Daniel D. Morris, Ken-ichi Kanatani, Takeo Kanade
190
Voted
CEC
2007
IEEE
15 years 9 months ago
Mobile robot global localization using differential evolution and particle swarm optimization
For a mobile robot to move in a known environment and operate successfully, first it needs to robustly determine its initial position and orientation relative to the map, and then ...
Ali R. Vahdat, Naser NourAshrafoddin, Saeed Shiry ...
162
Voted
BMCBI
2006
165views more  BMCBI 2006»
15 years 5 months ago
Improved variance estimation of classification performance via reduction of bias caused by small sample size
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
Ulrika Wickenberg-Bolin, Hanna Göransson, M&a...