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» Object of Interest Detection by Saliency Learning
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MLDM
2005
Springer
14 years 3 months ago
Unsupervised Learning of Visual Feature Hierarchies
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Fabien Scalzo, Justus H. Piater
ICPR
2008
IEEE
14 years 4 months ago
Object-of-interest extraction by integrating stochastic inference with learnt active shape sketch
This article presents a novel integrated approach to object of interest extraction, including learning to define target pattern and extracting by combining detection and segmenta...
Hongwei Li, Liang Lin, Tianfu Wu, Xiaobai Liu, Lan...
CVPR
2007
IEEE
14 years 11 months ago
Joint Priors for Variational Shape and Appearance Modeling
We are interested in modeling the variability of different images of the same scene, or class of objects, obtained by changing the imaging conditions, for instance the viewpoint o...
Jeremy D. Jackson, Anthony J. Yezzi, Stefano Soatt...
AROBOTS
2002
166views more  AROBOTS 2002»
13 years 9 months ago
Multi-Modal Interaction of Human and Home Robot in the Context of Room Map Generation
In robotics, the idea of human and robot interaction is receiving a lot of attention lately. In this paper, we describe a multi-modal system for generating a map of the environment...
Saeed Shiry Ghidary, Yasushi Nakata, Hiroshi Saito...
CVPR
2007
IEEE
14 years 11 months ago
Kernel Sharing With Joint Boosting For Multi-Class Concept Detection
Object/scene detection by discriminative kernel-based classification has gained great interest due to its promising performance and flexibility. In this paper, unlike traditional ...
Wei Jiang, Shih-Fu Chang, Alexander C. Loui