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» Robust multi-task feature learning
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IPMI
2007
Springer
16 years 5 months ago
Learning Best Features and Deformation Statistics for Hierarchical Registration of MR Brain Images
A fully learning-based framework has been presented for deformable registration of MR brain images. In this framework, the entire brain is first adaptively partitioned into a numbe...
Guorong Wu, Feihu Qi, Dinggang Shen
CVPR
2005
IEEE
16 years 6 months ago
Object Recognition with Features Inspired by Visual Cortex
We introduce a novel set of features for robust object recognition. Each element of this set is a complex feature obtained by combining position- and scale-tolerant edgedetectors ...
Thomas Serre, Lior Wolf, Tomaso Poggio
MVA
2007
128views Computer Vision» more  MVA 2007»
15 years 6 months ago
Illumination-robust Change Detection Using Texture Based Features
We propose a change detection method which is robust against illumination change and requires little background learning as a result of using texture based features. We propose Pe...
Kentaro Yokoi
CVPR
2012
IEEE
13 years 7 months ago
Learning to segment dense cell nuclei with shape prior
We study the problem of segmenting multiple cell nuclei from GFP or Hoechst stained microscope images with a shape prior. This problem is encountered ubiquitously in cell biology ...
Xinghua Lou, Ullrich Köthe, Jochen Wittbrodt,...
ICARCV
2008
IEEE
184views Robotics» more  ICARCV 2008»
15 years 11 months ago
Learning informative point classes for the acquisition of object model maps
—This paper proposes a set of methods for building informative and robust feature point representations, used for accurately labeling points in a 3D point cloud, based on the typ...
Radu Bogdan Rusu, Zoltan Csaba Marton, Nico Blodow...