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ICANN
2005
Springer
16 years 9 days ago
A Neural Network Model for Inter-problem Adaptive Online Time Allocation
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
Matteo Gagliolo, Jürgen Schmidhuber
ICML
2009
IEEE
16 years 7 months ago
A convex formulation for learning shared structures from multiple tasks
Multi-task learning (MTL) aims to improve generalization performance by learning multiple related tasks simultaneously. In this paper, we consider the problem of learning shared s...
Jianhui Chen, Lei Tang, Jun Liu, Jieping Ye
VLDB
2008
ACM
156views Database» more  VLDB 2008»
16 years 7 months ago
Implementing mapping composition
Mapping composition is a fundamental operation in metadata driven applications. Given a mapping over schemas 1 and 2 and a mapping over schemas 2 and 3, the composition problem is...
Philip A. Bernstein, Todd J. Green, Sergey Melnik,...
3DPVT
2006
IEEE
144views Visualization» more  3DPVT 2006»
16 years 26 days ago
Recovering Illumination and Texture Using Ratio Images
In this paper we consider the problem of factoring illumination and texture from a pair of images of a diffuse object of known geometry. This problem arises frequently in 3D photo...
Alejandro Troccoli, Peter K. Allen
IPPS
2002
IEEE
15 years 11 months ago
Aligning Two Fragmented Sequences
Upon completion of the human and mouse genome sequences, world-wide sequencing capacity will turn to other complex organisms. Current strategies call for many of these genomes to ...
Vamsi Veeramachaneni, Piotr Berman, Webb Miller