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ICPR
2004
IEEE
16 years 25 days ago
Object Recognition Using Segmentation for Feature Detection
: A new method is presented to learn object categories from unlabeled and unsegmented images for generic object recognition. We assume that each object can be characterized by a se...
Andreas Opelt, Axel Pinz, Michael Fussenegger, Pet...
ICCV
2007
IEEE
16 years 1 months ago
3D Variational Brain Tumor Segmentation using a High Dimensional Feature Set
Tumor segmentation from MRI data is an important but time consuming task performed manually by medical experts. Automating this process is challenging due to the high diversity in...
Albert Murtha, Dana Cobzas, Mark Schmidt, Martin J...
67
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ICMCS
2007
IEEE
96views Multimedia» more  ICMCS 2007»
15 years 6 months ago
Role Recognition in Broadcast News using Bernoulli Distributions
This work presents an approach for the recognition of the roles played by speakers participating in radio broadcast news (e.g. anchorman or guest). The approach includes two main ...
Alessandro Vinciarelli
ICIAP
1999
ACM
15 years 4 months ago
Texture Segmentation by Frequency-Sensitive Elliptical Competitive Learning
In this paper a new learning algorithm is proposed with the purpose of texture segmentation. The algorithm is a competitive clustering scheme with two specific features: elliptic...
Steve De Backer, Paul Scheunders
TSMC
2002
99views more  TSMC 2002»
14 years 11 months ago
Defect detection in textured materials using optimized filters
Theproblemofautomateddefectdetectionintextured materials is investigated. A new approach for defect detection using linearFIRfilterswithoptimizedenergyseparationisproposed.Performa...
Ajay Kumar, Grantham K. H. Pang