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GECCO
2004
Springer
106views Optimization» more  GECCO 2004»
15 years 8 months ago
Run Transferable Libraries - Learning Functional Bias in Problem Domains
Abstract. This paper introduces the notion of Run Transferable Libraries, a mechanism to pass knowledge acquired in one GP run to another. We demonstrate that a system using these ...
Maarten Keijzer, Conor Ryan, Mike Cattolico
102
Voted
ICIP
2008
IEEE
15 years 9 months ago
An automatic method to learn and transfer the photometric appearance of partially overlapping images
The first major contribution of this paper is a robust method to learn the photometric mapping between the overlapping portions of two registered images acquired either under dif...
Marco Zuliani, Luca Bertelli, B. S. Manjunath
118
Voted
ECCV
2010
Springer
15 years 3 months ago
Weakly-Paired Maximum Covariance Analysis for Multimodal Dimensionality Reduction and Transfer Learning
Abstract. We study the problem of multimodal dimensionality reduction assuming that data samples can be missing at training time, and not all data modalities may be present at appl...
Christoph H. Lampert, Oliver Krömer
137
Voted
CVPR
2008
IEEE
16 years 4 months ago
Transfer learning for image classification with sparse prototype representations
To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful. We develop a new method for transfer le...
Ariadna Quattoni, Michael Collins, Trevor Darrell
PKDD
2009
Springer
148views Data Mining» more  PKDD 2009»
15 years 9 months ago
Feature Selection by Transfer Learning with Linear Regularized Models
Abstract. This paper presents a novel feature selection method for classification of high dimensional data, such as those produced by microarrays. It includes a partial supervisio...
Thibault Helleputte, Pierre Dupont