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» Randomized Clustering Forests for Image Classification
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MICCAI
2009
Springer
14 years 6 months ago
Discriminative, Semantic Segmentation of Brain Tissue in MR Images
A new algorithm is presented for the automatic segmentation and classification of brain tissue from 3D MR scans. It uses discriminative Random Decision Forest classification and ta...
Zhao Yi, Antonio Criminisi, Jamie Shotton, Andr...
CVPR
2008
IEEE
14 years 7 months ago
Semantic texton forests for image categorization and segmentation
We propose semantic texton forests, efficient and powerful new low-level features. These are ensembles of decision trees that act directly on image pixels, and therefore do not ne...
Jamie Shotton, Matthew Johnson, Roberto Cipolla
FLAIRS
2006
13 years 6 months ago
Automated Classification of Astronomical Objects in Multispectral Wide-Field Images
In this paper we present an automated method for classifying astronomical objects in multispectral wide-field images. The method is divided into three main tasks. The first one co...
Jorge de la Calleja, Olac Fuentes
DAGM
2010
Springer
13 years 5 months ago
Learning of Optimal Illumination for Material Classification
We present a method to classify materials in illumination series data. An illumination series is acquired using a device which is capable to generate arbitrary lighting environment...
Markus Jehle, Christoph Sommer, Bernd Jähne
CVPR
2010
IEEE
14 years 1 months ago
Segmentation of Building Facades Using Procedural Shape Priors
In this paper we propose a novel approach to the perceptual interpretation of building facades that combines shape grammars, supervised classification and random walks. Procedural...
Olivier Teboul, Loic Simon, Panagiotis Koutsouraki...