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» Optimal Segmentation of Random Sequences
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NAACL
2003
15 years 1 months ago
Shallow Parsing with Conditional Random Fields
Conditional random fields for sequence labeling offer advantages over both generative models like HMMs and classifiers applied at each sequence position. Among sequence labeling...
Fei Sha, Fernando C. N. Pereira
CORR
2010
Springer
186views Education» more  CORR 2010»
14 years 11 months ago
Channel Estimation for Opportunistic Spectrum Access: Uniform and Random Sensing
The knowledge of channel statistics can be very helpful in making sound opportunistic spectrum access decisions. It is therefore desirable to be able to efficiently and accurately...
Quanquan Liang, Mingyan Liu
CVPR
2010
IEEE
14 years 12 months ago
Label propagation in video sequences
This paper proposes a probabilistic graphical model for the problem of propagating labels in video sequences, also termed the label propagation problem. Given a limited amount of ...
Vijay Badrinarayanan, Fabio Galasso, Roberto Cipol...
JCB
2008
52views more  JCB 2008»
14 years 11 months ago
Spectrum-Based De Novo Repeat Detection in Genomic Sequences
A novel approach to the detection of genomic repeats is presented in this paper. The technique, dubbed SAGRI (Spectrum Assisted Genomic Repeat Identifier), is based on the spectru...
Huy Hoang Do, Kwok Pui Choi, Franco P. Preparata, ...
ICALP
2007
Springer
15 years 5 months ago
Reconciling Data Compression and Kolmogorov Complexity
While data compression and Kolmogorov complexity are both about effective coding of words, the two settings differ in the following respect. A compression algorithm or compressor...
Laurent Bienvenu, Wolfgang Merkle