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» Automatic feature selection in neuroevolution
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MICCAI
2001
Springer
15 years 5 months ago
Valmet: A New Validation Tool for Assessing and Improving 3D Object Segmentation
Extracting 3D structures from volumetric images like MRI or CT is becoming a routine process for diagnosis based on quantitation, for radiotherapy planning, for surgical planning a...
Guido Gerig, Matthieu Jomier, Miranda Chakos
CAGD
2005
113views more  CAGD 2005»
15 years 1 months ago
Mesh scissoring with minima rule and part salience
This paper presents an intelligent scissoring operator for meshes. Unlike common approaches that segment a mesh using clustering schemes, we introduce a method that concentrates o...
Yunjin Lee, Seungyong Lee, Ariel Shamir, Daniel Co...
PAMI
2010
203views more  PAMI 2010»
14 years 11 months ago
Visual Word Ambiguity
— This paper studies automatic image classification by modeling soft-assignment in the popular codebook model. The codebook model describes an image as a bag of discrete visual ...
Jan van Gemert, Cor J. Veenman, Arnold W. M. Smeul...
TRECVID
2007
15 years 2 months ago
The MediaMill TRECVID 2007 Semantic Video Search Engine
In this paper we describe our TRECVID 2007 experiments. The MediaMill team participated in two tasks: concept detection and search. For concept detection we extract regionbased im...
Cees G. M. Snoek, I. Everts, Jan van Gemert, Jan-M...
IPM
2007
145views more  IPM 2007»
15 years 1 months ago
Text mining techniques for patent analysis
Patent documents contain important research results. However, they are lengthy and rich in technical terminology such that it takes a lot of human efforts for analyses. Automatic...
Yuen-Hsien Tseng, Chi-Jen Lin, Yu-I Lin