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» A Spectral Algorithm for Learning Hidden Markov Models
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CVPR
2006
IEEE
14 years 9 months ago
Bilayer Segmentation of Live Video
This paper presents an algorithm capable of real-time separation of foreground from background in monocular video sequences. Automatic segmentation of layers from colour/contrast ...
Antonio Criminisi, Geoffrey Cross, Andrew Blake, V...
21
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CIKM
2008
Springer
13 years 9 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan
ISMIR
2005
Springer
168views Music» more  ISMIR 2005»
14 years 1 months ago
A Novel HMM Approach to Melody Spotting in Raw Audio Recordings
This paper presents a melody spotting system based on Variable Duration Hidden Markov Models (VDHMM’s), capable of locating monophonic melodies in a database of raw audio record...
Aggelos Pikrakis, Sergios Theodoridis
PAMI
2010
417views more  PAMI 2010»
13 years 5 months ago
Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation
The notion of using context information for solving high-level vision and medical image segmentation problems has been increasingly realized in the field. However, how to learn a...
Zhuowen Tu, Xiang Bai
ACL
2001
13 years 9 months ago
Serial Combination of Rules and Statistics: A Case Study in Czech Tagging
A hybrid system is described which combines the strength of manual rulewriting and statistical learning, obtaining results superior to both methods if applied separately. The comb...
Jan Hajic, Pavel Krbec, Pavel Kveton, Karel Oliva,...