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ICML
2007
IEEE
15 years 10 months ago
Comparisons of sequence labeling algorithms and extensions
In this paper, we survey the current state-ofart models for structured learning problems, including Hidden Markov Model (HMM), Conditional Random Fields (CRF), Averaged Perceptron...
Nam Nguyen, Yunsong Guo
IDA
2007
Springer
14 years 9 months ago
Voting experts: An unsupervised algorithm for segmenting sequences
We describe a statistical signature of chunks and an algorithm for finding chunks. While there is no formal definition of chunks, they may be reliably identified as configurat...
Paul R. Cohen, Niall M. Adams, Brent Heeringa
RECOMB
2001
Springer
15 years 2 months ago
The greedy path-merging algorithm for sequence assembly
Two different approaches to determining the human genome are currently being pursued: one is the “clone-by-clone” approach, employed by the publicly-funded Human Genome Proje...
Daniel H. Huson, Knut Reinert, Eugene W. Myers
IPPS
2010
IEEE
14 years 7 months ago
pFANGS: Parallel high speed sequence mapping for Next Generation 454-roche Sequencing reads
Millions of DNA sequences (reads) are generated by Next Generation Sequencing machines everyday. There is a need for high performance algorithms to map these sequences to the refer...
Sanchit Misra, Ramanathan Narayanan, Wei-keng Liao...
ICIP
1998
IEEE
15 years 11 months ago
Reducing the Computational Complexity of a Map Post-Processing Algorithm for Video Sequences
Maximum a posteriori (MAP) filtering using the HuberMarkov random field (HMRF) image model has been shown in the past to be an effective method of reducing compression artifacts i...
Mark A. Robertson, Robert L. Stevenson