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ACL
2006
15 years 6 months ago
Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling
We present a new semi-supervised training procedure for conditional random fields (CRFs) that can be used to train sequence segmentors and labelers from a combination of labeled a...
Feng Jiao, Shaojun Wang, Chi-Hoon Lee, Russell Gre...
WAIM
2010
Springer
15 years 3 months ago
An Efficient Approach for Mining Segment-Wise Intervention Rules in Time-Series Streams
Huge time-series stream data are collected every day from many areas, and their trends may be impacted by outside events, hence biased from its normal behavior. This phenomenon is ...
Yue Wang, Jie Zuo, Ning Yang, Lei Duan, Hong-Jun L...
SSIAI
2000
IEEE
15 years 9 months ago
A New Bayesian Relaxation Framework for the Estimation and Segmentation of Multiple Motions
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
Alexander Strehl, Jake K. Aggarwal
ACL
2003
15 years 6 months ago
Unsupervised Segmentation of Words Using Prior Distributions of Morph Length and Frequency
We present a language-independent and unsupervised algorithm for the segmentation of words into morphs. The algorithm is based on a new generative probabilistic model, which makes...
Mathias Creutz
DAGM
2010
Springer
15 years 6 months ago
Unsupervised Facade Segmentation Using Repetitive Patterns
Abstract. We introduce a novel approach for separating and segmenting individual facades from streetside images. Our algorithm incorporates prior knowledge about arbitrarily shaped...
Andreas Wendel, Michael Donoser, Horst Bischof