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» A Least-Squares Framework for Component Analysis
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ISBI
2007
IEEE
15 years 4 months ago
An Effective and Efficient Technique for Searching for Similar Brain Activation Patterns
In this paper, we introduce a new approach for content-based similarity search for brain images. Based on the keyblock representation, our framework employs the Principal Componen...
Jingjing Zhang, Vasileios Megalooikonomou
78
Voted
TSP
2008
174views more  TSP 2008»
14 years 9 months ago
Complex ICA Using Nonlinear Functions
We introduce a framework based on Wirtinger calculus for nonlinear complex-valued signal processing such that all computations can be directly carried out in the complex domain. Th...
Tülay Adali, Hualiang Li, Mike Novey, J.-F. C...
JIB
2007
124views more  JIB 2007»
14 years 9 months ago
Analysis of integrated biomolecular networks using a generic network analysis suite
The informative value of biomolecular networks has shifted from being solely information resources for possible cellular partners (whether these embody proteins, (ribo)nucleic aci...
Matthias Oesterheld, Hans-Werner Mewes, Volker St&...
70
Voted
ICPR
2004
IEEE
15 years 10 months ago
Relevant Linear Feature Extraction Using Side-information and Unlabeled Data
"Learning with side-information" is attracting more and more attention in machine learning problems. In this paper, we propose a general iterative framework for relevant...
Changshui Zhang, Fei Wu, Yonglei Zhou
TACAS
2007
Springer
99views Algorithms» more  TACAS 2007»
15 years 3 months ago
"Don't Care" Modeling: A Logical Framework for Developing Predictive System Models
Analysis of biological data often requires an understanding of components of pathways and/or networks and their mutual dependency relationships. Such systems are often analyzed and...
Hillel Kugler, Amir Pnueli, Michael J. Stern, E. J...