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» Query segmentation using conditional random fields
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DAGM
2009
Springer
15 years 4 months ago
Quantitative Assessment of Image Segmentation Quality by Random Walk Relaxation Times
The purpose of image segmentation is to partition the pixel grid of an image into connected components termed segments such that (i) each segment is homogenous and (ii) for any pai...
Björn Andres, Ullrich Köthe, Andreea Bon...
CVPR
2008
IEEE
15 years 11 months ago
The Logistic Random Field - A convenient graphical model for learning parameters for MRF-based labeling
Graphical models are fundamental tools for modeling images and other applications. In this paper, we propose the Logistic Random Field (LRF) model for representing a discrete-valu...
Marshall F. Tappen, Kegan G. G. Samuel, Craig V. D...
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ECCV
2008
Springer
15 years 11 months ago
GeoS: Geodesic Image Segmentation
This paper presents GeoS, a new algorithm for the efficient segmentation of n-dimensional image and video data. The segmentation problem is cast as approximate energy minimization ...
Antonio Criminisi, Toby Sharp, Andrew Blake
SIGIR
2009
ACM
15 years 4 months ago
An improved markov random field model for supporting verbose queries
Recent work in supervised learning of term-based retrieval models has shown significantly improved accuracy can often be achieved via better model estimation [2, 10, 11, 17]. In ...
Matthew Lease
ACL
2010
14 years 7 months ago
Understanding the Semantic Structure of Noun Phrase Queries
Determining the semantic intent of web queries not only involves identifying their semantic class, which is a primary focus of previous works, but also understanding their semanti...
Xiao Li