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» Automatic Image Annotation Using Maximum Entropy Model
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CVPR
2000
IEEE
14 years 9 months ago
Learning in Gibbsian Fields: How Accurate and How Fast Can It Be?
?Gibbsian fields or Markov random fields are widely used in Bayesian image analysis, but learning Gibbs models is computationally expensive. The computational complexity is pronoun...
Song Chun Zhu, Xiuwen Liu
ICCV
2011
IEEE
12 years 7 months ago
Actively Selecting Annotations Among Objects and Attributes
We present an active learning approach to choose image annotation requests among both object category labels and the objects’ attribute labels. The goal is to solicit those labe...
Adriana Kovashka, Sudheendra Vijayanarasimhan, Kri...
ECCV
2004
Springer
14 years 9 months ago
Groupwise Diffeomorphic Non-rigid Registration for Automatic Model Building
We describe a framework for registering a group of images together using a set of non-linear diffeomorphic warps. The result of the groupwise registration is an implicit definition...
Timothy F. Cootes, Stephen Marsland, Carole J. Twi...
ACL
2004
13 years 9 months ago
A Mention-Synchronous Coreference Resolution Algorithm Based On the Bell Tree
This paper proposes a new approach for coreference resolution which uses the Bell tree to represent the search space and casts the coreference resolution problem as finding the be...
Xiaoqiang Luo, Abraham Ittycheriah, Hongyan Jing, ...
ECCV
2006
Springer
14 years 9 months ago
Figure/Ground Assignment in Natural Images
Abstract. Figure/ground assignment is a key step in perceptual organization which assigns contours to one of the two abutting regions, providing information about occlusion and all...
Xiaofeng Ren, Charless Fowlkes, Jitendra Malik