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» An ICA algorithm for analyzing multiple data sets
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VLSISP
2011
358views Database» more  VLSISP 2011»
13 years 4 months ago
Accelerating Machine-Learning Algorithms on FPGAs using Pattern-Based Decomposition
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
Karthik Nagarajan, Brian Holland, Alan D. George, ...
DAGSTUHL
2007
13 years 10 months ago
Learning Probabilistic Relational Dynamics for Multiple Tasks
The ways in which an agent’s actions affect the world can often be modeled compactly using a set of relational probabilistic planning rules. This paper addresses the problem of ...
Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer...
BMCBI
2010
182views more  BMCBI 2010»
13 years 9 months ago
L2-norm multiple kernel learning and its application to biomedical data fusion
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
Shi Yu, Tillmann Falck, Anneleen Daemen, Lé...
MICAI
2004
Springer
14 years 2 months ago
An Improved ICP Algorithm Based on the Sensor Projection for Automatic 3D Registration
Three-dimensional (3D) registration is the process aligning the range data sets form different views in a common coordinate system. In order to generate a complete 3D model, we nee...
Sang-Hoon Kim, Yong Ho Hwang, Hyun-Ki Hong, Min-Hy...
BIBM
2007
IEEE
137views Bioinformatics» more  BIBM 2007»
14 years 3 months ago
A Multi-metric Similarity Based Analysis of Microarray Data
Clustering has been shown to be effective in analyzing functional relationships of genes. However, no single clustering method with single distance metric is capable of capturing ...
Fatih Altiparmak, Selnur Erdal, Ozgur Ozturk, Haka...