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» Learning Hierarchical Models of Scenes, Objects, and Parts
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BMVC
2010
15 years 4 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 11 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
16 years 7 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»
15 years 7 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»
16 years 23 days 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