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» Learning Hierarchical Models of Scenes, Objects, and Parts
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BMVC
2010
14 years 7 months ago
Image Topic Discovery with Saliency Detection
This work proposes a biologically inspired approach to integrate latent topic model with saliency detection. Firstly, a saliency detection algorithm is presented to discriminate s...
Zhidong Li, Yang Wang, Jing Chen, Jie Xu, John Lai...
VISUALIZATION
2005
IEEE
15 years 3 months ago
View-Dependent Rendering of Multiresolution Texture-Atlases
Real-time rendering of massively textured 3D scenes usually involves two major problems: Large numbers of texture switches are a well-known performance bottleneck and the set of s...
Henrik Buchholz, Jürgen Döllner
ICPR
2006
IEEE
15 years 11 months ago
Latent Layout Analysis for Discovering Objects in Images
Latent Layout Analysis (LLA) is a novel unsupervised learning technique to discover objects in unseen images using a set of un-annotated training images. LLA defines a generative ...
David Liu, Datong Chen, Tsuhan Chen
EUSFLAT
2003
117views Fuzzy Logic» more  EUSFLAT 2003»
14 years 11 months ago
Genetic fuzzy controllers: from simulated based learning to a real application
This work shows a stand-alone photovoltaic system application based on fuzzy logic controllers and genetic fuzzy systems. A hierarchical fuzzy controller has been designed that at...
Joaquín Cañada Bago, Jorge Aguilera,...
ICRA
2009
IEEE
173views Robotics» more  ICRA 2009»
15 years 4 months ago
Most salient region tracking
— In this paper, we introduce a cognitive approach for object tracking from a mobile platform. The approach is based on a biologically motivated attention system which is able to...
Simone Frintrop, Markus Kessel