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» Learning the Relative Importance of Features in Image Data
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ICML
2007
IEEE
14 years 9 months ago
Online kernel PCA with entropic matrix updates
A number of updates for density matrices have been developed recently that are motivated by relative entropy minimization problems. The updates involve a softmin calculation based...
Dima Kuzmin, Manfred K. Warmuth
EDBT
2008
ACM
178views Database» more  EDBT 2008»
14 years 8 months ago
An inductive database and query language in the relational model
In the demonstration, we will present the concepts and an implementation of an inductive database ? as proposed by Imielinski and Mannila ? in the relational model. The goal is to...
Lothar Richter, Jörg Wicker, Kristina Kessler...
CORR
2011
Springer
150views Education» more  CORR 2011»
13 years 3 months ago
Total variation regularization for fMRI-based prediction of behaviour
—While medical imaging typically provides massive amounts of data, the extraction of relevant information for predictive diagnosis remains a difficult challenge. Functional MRI ...
Vincent Michel, Alexandre Gramfort, Gaël Varo...
CLEF
2005
Springer
14 years 2 months ago
The Use of MedGIFT and EasyIR for ImageCLEF 2005
This article describes the use of the medGIFT and easyIR retrieval systems for three of the four ImageCLEF 2005 retrieval tasks. We participated in the ad–hoc retrieval task that...
Henning Müller, Antoine Geissbühler, Joh...
ICCV
2011
IEEE
12 years 8 months ago
A Linear Subspace Learning Approach via Sparse Coding
Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...
Lei Zhang, Pengfei Zhu, Qinghu Hu, David Zhang