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» Identifying Objects Using Cluster and Concept Analysis
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BMCBI
2006
181views more  BMCBI 2006»
15 years 3 months ago
Array2BIO: from microarray expression data to functional annotation of co-regulated genes
Background: There are several isolated tools for partial analysis of microarray expression data. To provide an integrative, easy-to-use and automated toolkit for the analysis of A...
Gabriela G. Loots, Patrick S. G. Chain, Shalini Ma...
PAKDD
1999
ACM
149views Data Mining» more  PAKDD 1999»
15 years 7 months ago
An Analysis of Quantitative Measures Associated with Rules
In this paper, we analyze quantitative measures associated with if-then type rules. Basic quantities are identified and many existing measures are examined using the basic quantit...
Yiyu Yao, Ning Zhong
ICASSP
2008
IEEE
15 years 9 months ago
Unsupervised optimal phoneme segmentation: Objectives, algorithm and comparisons
Phoneme segmentation is a fundamental problem in many speech recognition and synthesis studies. Unsupervised phoneme segmentation assumes no knowledge on linguistic contents and a...
Yu Qiao, Naoya Shimomura, Nobuaki Minematsu
DRR
2009
15 years 1 months ago
Figure content analysis for improved biomedical article retrieval
Biomedical images are invaluable in medical education and establishing clinical diagnosis. Clinical decision support (CDS) can be improved by combining biomedical text with automa...
Daekeun You, Emilia Apostolova, Sameer Antani, Din...
ISLPED
1997
ACM
104views Hardware» more  ISLPED 1997»
15 years 6 months ago
Composite sequence compaction for finite-state machines using block entropy and high-order Markov models
- The objective of this paper is to provide an effective technique for accurate modeling of the external input sequences that affect the behavior of Finite State Machines (FSMs). B...
Radu Marculescu, Diana Marculescu, Massoud Pedram