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» Learning a Classification Model for Segmentation
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IROS
2009
IEEE
120views Robotics» more  IROS 2009»
15 years 9 months ago
Interactive learning of visually symmetric objects
— This paper describes a robotic system that learns visual models of symmetric objects autonomously. Our robot learns by physically interacting with an object using its end effec...
Wai Ho Li, Lindsay Kleeman
BILDMED
2006
120views Algorithms» more  BILDMED 2006»
15 years 3 months ago
Towards Automatic Segmentation of Serial High-Resolution Images
Developing barley grains are to be visualised by a 4-D model, in which spatiotemporal experimental data can be integrated. The most crucial task lies in the automation of the exten...
Cornelia Brüß, Marc Strickert, Udo Seif...
ICML
2009
IEEE
16 years 3 months ago
Partially supervised feature selection with regularized linear models
This paper addresses feature selection techniques for classification of high dimensional data, such as those produced by microarray experiments. Some prior knowledge may be availa...
Thibault Helleputte, Pierre Dupont
CVPR
2009
IEEE
16 years 9 months ago
Contextual Classification with Functional Max-Margin Markov Networks
We address the problem of label assignment in computer vision: given a novel 3-D or 2-D scene, we wish to assign a unique label to every site (voxel, pixel, superpixel, etc.). To...
Daniel Munoz, James A. Bagnell, Martial Hebert, Ni...
MICCAI
2003
Springer
16 years 3 months ago
Computed Cleansing for Virtual Colonoscopy Using a Three-Material Transition Model
Virtual colonoscopy is a non-invasive technique for the detection of polyps. Currently, a clean colon is required; as without cleansing the colonic wall cannot be segmented. Enhanc...
Iwo Serlie, Roel Truyen, Jasper Florie, Frits H. P...