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» Conceptual Modeling for Data Integration
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KDD
2004
ACM
237views Data Mining» more  KDD 2004»
16 years 4 months ago
Bayesian Model-Averaging in Unsupervised Learning From Microarray Data
Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
Mario Medvedovic, Junhai Guo
ICDM
2008
IEEE
143views Data Mining» more  ICDM 2008»
15 years 11 months ago
Exploiting Data Semantics to Discover, Extract, and Model Web Sources
We describe DEIMOS, a system that automatically discovers and models new sources of information. The system exploits four core technologies developed by our group that makes an en...
José Luis Ambite, Craig A. Knoblock, Kristi...
SEMWEB
2009
Springer
15 years 11 months ago
Ontologies for User Interface Integration
There are different strategies to integrate software systems: integration on the data layer, on the business logic layer, and on the user interface layer. The latter area, recent...
Heiko Paulheim
TMI
2010
164views more  TMI 2010»
14 years 11 months ago
Robust Reconstruction of MRSI Data Using a Sparse Spectral Model and High Resolution MRI Priors
We introduce a novel algorithm to address the challenges in magnetic resonance (MR) spectroscopic imaging. In contrast to classical sequential data processing schemes, the proposed...
Ramin Eslami, Mathews Jacob
ICASSP
2011
IEEE
14 years 8 months ago
Soft frame margin estimation of Gaussian Mixture Models for speaker recognition with sparse training data
—Discriminative Training (DT) methods for acoustic modeling, such as MMI, MCE, and SVM, have been proved effective in speaker recognition. In this paper we propose a DT method fo...
Yan Yin, Qi Li