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MLDM
2005
Springer
14 years 1 months ago
Unsupervised Learning of Visual Feature Hierarchies
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Fabien Scalzo, Justus H. Piater
BIBM
2008
IEEE
212views Bioinformatics» more  BIBM 2008»
14 years 2 months ago
Analysis of Multiplex Gene Expression Maps Obtained by Voxelation
Background: Gene expression signatures in the mammalian brain hold the key to understanding neural development and neurological disease. Researchers have previously used voxelatio...
Li An, Hongbo Xie, Mark H. Chin, Zoran Obradovic, ...
KDD
2012
ACM
207views Data Mining» more  KDD 2012»
11 years 10 months ago
Robust multi-task feature learning
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
Pinghua Gong, Jieping Ye, Changshui Zhang
WSC
2007
13 years 10 months ago
A model for contact center analysis and simulation
In this paper we depart from a set of simple assumptions regarding the behavior of a pool of customers associated with an enterprise’s contact center. We assume that the pool of...
Juan M. Huerta
ESANN
2007
13 years 9 months ago
Functional elements and networks in fMRI
Abstract. We propose a two-step approach for the analysis of functional magnetic resonance images, in the context of natural stimuli. In the first step, elements of functional bra...
Jarkko Ylipaavalniemi, Eerika Savia, Ricardo Vig&a...