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» Meta-Evaluation of Image Segmentation Using Machine Learning
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MICCAI
2007
Springer
16 years 5 months ago
Statistical Shape Modeling Using MDL Incorporating Shape, Appearance, and Expert Knowledge
Abstract. We propose a highly automated approach to the point correspondence problem for anatomical shapes in medical images. Manual landmarking is performed on a small subset of t...
Aaron D. Ward, Ghassan Hamarneh
ICPR
2004
IEEE
16 years 5 months ago
Corner Detection Using Support Vector Machines
A support vector machine based algorithm for corner detection is presented. It is based on computing the direction of maximum gray-level change for each edge pixel in an image, an...
Malay K. Kundu, Minakshi Banerjee, Pabitra Mitra
CVPR
2011
IEEE
15 years 1 months ago
Shape Grammar Parsing via Reinforcement Learning
This paper tackles shape grammar parsing for facade segmentation using a novel optimization approach based on reinforcement learning (RL). To this end, we use a binary recursive g...
Olivier Teboul, Iasonas Kokkinos, Panagiotis Kouts...
134
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ECCV
2006
Springer
16 years 6 months ago
Learning to Combine Bottom-Up and Top-Down Segmentation
Bottom-up segmentation based only on low-level cues is a notoriously difficult problem. This difficulty has lead to recent top-down segmentation algorithms that are based on class-...
Anat Levin, Yair Weiss
MVA
1994
106views Computer Vision» more  MVA 1994»
15 years 5 months ago
Machine Vision Algorithms on a Color Blindness Plate
This paper presents a new approach including passive and actriveprocesses to deal with the image segmentation and pattern recognition to a color blindness plate (CBP). The CBP is ...
Yung-Sheng Chen, Yu-Chang Hsu