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» Image Distance Using Hidden Markov Models
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TIT
2002
57views more  TIT 2002»
14 years 11 months ago
Writing sequences on the plane
The problem of arranging two-dimensional arrays of data into one-dimensional sequences comes up in image processing, color quantization, and optical and magnetic data recording. A ...
Emina Soljanin
SIGMOD
2007
ACM
192views Database» more  SIGMOD 2007»
15 years 12 months ago
Benchmarking declarative approximate selection predicates
Declarative data quality has been an active research topic. The fundamental principle behind a declarative approach to data quality is the use of declarative statements to realize...
Amit Chandel, Oktie Hassanzadeh, Nick Koudas, Moha...
ACL
2008
15 years 1 months ago
Unsupervised Learning of Acoustic Sub-word Units
Accurate unsupervised learning of phonemes of a language directly from speech is demonstrated via an algorithm for joint unsupervised learning of the topology and parameters of a ...
Balakrishnan Varadarajan, Sanjeev Khudanpur, Emman...
SDM
2007
SIAM
184views Data Mining» more  SDM 2007»
15 years 1 months ago
Mining Naturally Smooth Evolution of Clusters from Dynamic Data
Many clustering algorithms have been proposed to partition a set of static data points into groups. In this paper, we consider an evolutionary clustering problem where the input d...
Yi Wang, Shi-Xia Liu, Jianhua Feng, Lizhu Zhou
BMCBI
2008
137views more  BMCBI 2008»
14 years 12 months ago
A dynamic Bayesian network approach to protein secondary structure prediction
Background: Protein secondary structure prediction method based on probabilistic models such as hidden Markov model (HMM) appeals to many because it provides meaningful informatio...
Xin-Qiu Yao, Huaiqiu Zhu, Zhen-Su She