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ICCV
2009
IEEE
16 years 11 months ago
Joint learning of visual attributes, object classes and visual saliency
We present a method to learn visual attributes (eg.“red”, “metal”, “spotted”) and object classes (eg. “car”, “dress”, “umbrella”) together. We assume imag...
Gang Wang, David Forsyth
CVPR
2005
IEEE
16 years 8 months ago
Shape Regularized Active Contour Using Iterative Global Search and Local Optimization
Recently, nonlinear shape models have been shown to improve the robustness and flexibility of segmentation. In this paper, we propose Shape Regularized Active Contour (ShRAC) that...
Tianli Yu, Jiebo Luo, Narendra Ahuja
JCDL
2005
ACM
100views Education» more  JCDL 2005»
16 years 7 days ago
Automatic extraction of titles from general documents using machine learning
In this paper, we propose a machine learning approach to title extraction from general documents. By general documents, we mean documents that can belong to any one of a number of...
Yunhua Hu, Hang Li, Yunbo Cao, Dmitriy Meyerzon, Q...
OPODIS
2001
15 years 8 months ago
Mobile agents: a suitable support for service provision in mobile computing environments
This paper aims to investigate the use of mobile agents for service provision in mobile computing environments. A quantitative model and experimental measurements are performed to ...
Ouahiba Fouial, Nadia Boukhatem, Isabelle M. Demeu...
CVPR
2008
IEEE
16 years 8 months ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...