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CORR
2010
Springer
207views Education» more  CORR 2010»
15 years 7 months ago
Collaborative Hierarchical Sparse Modeling
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
Pablo Sprechmann, Ignacio Ramírez, Guillerm...
CVPR
2006
IEEE
16 years 9 months ago
Activity Analysis in Microtubule Videos by Mixture of Hidden Markov Models
We present an automated method for the tracking and dynamics modeling of microtubules -a major component of the cytoskeleton- which provides researchers with a previously unattain...
Alphan Altinok, Motaz A. El Saban, Austin J. Peck,...
KDD
2008
ACM
192views Data Mining» more  KDD 2008»
16 years 7 months ago
Partial least squares regression for graph mining
Attributed graphs are increasingly more common in many application domains such as chemistry, biology and text processing. A central issue in graph mining is how to collect inform...
Hiroto Saigo, Koji Tsuda, Nicole Krämer
GPCE
2005
Springer
16 years 25 days ago
Applying a Generative Technique for Enhanced Genericity and Maintainability on the J2EE Platform
One of the themes in building reusable and maintainable software is identifying similarities and designing generic solutions to unify similarity patterns. In this paper, we analyze...
Yang Jun, Stan Jarzabek
KES
2005
Springer
16 years 24 days ago
Feature Generation by Simple FLD
This paper presents a new algorithm for feature generation, which is approximately derived based on geometrical interpretation of the Fisher linear discriminant analysis. In a fiel...
Minoru Fukumi, Yasue Mitsukura