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BMCBI
2010
164views more  BMCBI 2010»
13 years 5 months ago
Merged consensus clustering to assess and improve class discovery with microarray data
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
T. Ian Simpson, J. Douglas Armstrong, Andrew P. Ja...
ICDAR
2009
IEEE
14 years 2 months ago
Isolated Handwritten Farsi Numerals Recognition Using Sparse and Over-Complete Representations
A new isolated handwritten Farsi numeral recognition algorithm is proposed in this paper, which exploits the sparse and over-complete structure from the handwritten Farsi numeral ...
Wumo Pan, Tien D. Bui, Ching Y. Suen
CORR
2004
Springer
176views Education» more  CORR 2004»
13 years 8 months ago
The First-Order Theory of Sets with Cardinality Constraints is Decidable
Data structures often use an integer variable to keep track of the number of elements they store. An invariant of such data structure is that the value of the integer variable is ...
Viktor Kuncak, Martin C. Rinard
CL
2004
Springer
13 years 8 months ago
Nesting analysis of mobile ambients
A new algorithm is introduced for analyzing possible nestings in mobile ambient calculus. It improves both time and space complexities of the technique proposed by Nielson and Sei...
Chiara Braghin, Agostino Cortesi, Riccardo Focardi...
ML
1998
ACM
139views Machine Learning» more  ML 1998»
13 years 7 months ago
The Hierarchical Hidden Markov Model: Analysis and Applications
We introduce, analyze and demonstrate a recursive hierarchical generalization of the widely used hidden Markov models, which we name Hierarchical Hidden Markov Models (HHMM). Our m...
Shai Fine, Yoram Singer, Naftali Tishby