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» Automatic feature selection in neuroevolution
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MM
2009
ACM
185views Multimedia» more  MM 2009»
14 years 4 months ago
Deep exploration for experiential image retrieval
Experiential image retrieval systems aim to provide the user with a natural and intuitive search experience. The goal is to empower the user to navigate large collections based on...
Bart Thomee, Mark J. Huiskes, Erwin M. Bakker, Mic...
ROBIO
2006
IEEE
121views Robotics» more  ROBIO 2006»
14 years 4 months ago
Behaviour Cooperation by Negation for Mobile Robots
— This article presents a behavioural architecture, the Survival Kit (SK), which allows behaviours to cast their multivalued output by means of constraints over an ’action feat...
Pedro Santana, Luís Correia
SI3D
2006
ACM
14 years 3 months ago
Multi-scale line drawings from 3D meshes
We present an effective method for automatically selecting the appropriate scale of shape features that are depicted when rendering a 3D mesh in the style of a line drawing. The m...
Alex Ni, Kyuman Jeong, Seungyong Lee, Lee Markosia...
CAIP
1999
Springer
180views Image Analysis» more  CAIP 1999»
14 years 2 months ago
A Scale-Space Approach to Face Recognition from Profiles
A method for face recognition using profile images based on the scale-space filtering is presented in this paper. A grey-level image of profile is thresholded to produce a binary, ...
Zdravko Liposcak, Sven Loncaric
CORR
2010
Springer
286views Education» more  CORR 2010»
13 years 6 months ago
PhishDef: URL Names Say It All
Phishing is an increasingly sophisticated method to steal personal user information using sites that pretend to be legitimate. In this paper, we take the following steps to identif...
Anh Le, Athina Markopoulou, Michalis Faloutsos