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» Introduction to Randomized Algorithms
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IJCV
2008
172views more  IJCV 2008»
15 years 4 months ago
Nonparametric Bayesian Image Segmentation
Image segmentation algorithms partition the set of pixels of an image into a specific number of different, spatially homogeneous groups. We propose a nonparametric Bayesian model f...
Peter Orbanz, Joachim M. Buhmann
BMVC
2010
15 years 3 months ago
Motion Coherent Tracking with Multi-label MRF optimization
We present a novel off-line algorithm for target segmentation and tracking in video. In our approach, video data is represented by a multi-label Markov Random Field model, and seg...
David Tsai, Matthew Flagg, James M. Rehg
EMNLP
2010
15 years 3 months ago
Efficient Graph-Based Semi-Supervised Learning of Structured Tagging Models
We describe a new scalable algorithm for semi-supervised training of conditional random fields (CRF) and its application to partof-speech (POS) tagging. The algorithm uses a simil...
Amarnag Subramanya, Slav Petrov, Fernando Pereira
136
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ACL
2009
15 years 2 months ago
Efficient Inference of CRFs for Large-Scale Natural Language Data
This paper presents an efficient inference algorithm of conditional random fields (CRFs) for large-scale data. Our key idea is to decompose the output label state into an active s...
Minwoo Jeong, Chin-Yew Lin, Gary Geunbae Lee
193
Voted
AML
2011
177views Mathematics» more  AML 2011»
15 years 3 days ago
A superhigh diamond in the c.e. tt-degrees
The notion of superhigh computably enumerable (c.e.) degrees was first introduced by Mohrherr in [7], where she proved the existence of incomplete superhigh c.e. degrees, and high...
Douglas Cenzer, Johanna N. Y. Franklin, Jiang Liu ...