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» Embedding Heterogeneous Data Using Statistical Models
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203
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ICDE
1997
IEEE
92views Database» more  ICDE 1997»
16 years 1 months ago
Distributing Semantic Constraints Between Heterogeneous Databases
In recent years, research about distributing databases over networks has become increasingly important. Here we concentrate on the issues of interoperability of heterogeneous DBMS...
Stefan Grufman, Fredrik Samson, Suzanne M. Embury,...
MICCAI
2005
Springer
16 years 1 months ago
Parametric Response Surface Models for Analysis of Multi-site fMRI Data
Analyses of fMRI brain data are often based on statistical tests applied to each voxel or use summary statistics within a region of interest (such as mean or peak activation). Thes...
Seyoung Kim, Padhraic Smyth, Hal S. Stern, Jessica...
77
Voted
ICIP
2002
IEEE
16 years 2 months ago
Face recognition using mixtures of principal components
We introduce an efficient statistical modeling technique called Mixture of Principal Components (MPC). This model is a linear extension to the traditional Principal Component Anal...
Deepak S. Turaga, Tsuhan Chen
CSREAESA
2008
15 years 1 months ago
A Middleware for Model-Based Embedded Systems
To deal with the increasing complexity of embedded real-time systems the model-driven development approach has proven to be beneficial. The reduction of complexity achieved by the ...
Wolfgang Haberl, Jan Birke, Uwe Baumgarten
108
Voted
JAIR
2006
110views more  JAIR 2006»
15 years 12 days ago
Domain Adaptation for Statistical Classifiers
The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...
Hal Daumé III, Daniel Marcu