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» A Shape-Based Object Class Model for Knowledge Transfer
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ECCV
2008
Springer
14 years 11 months ago
Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks
Abstract. Building visual recognition models that adapt across different domains is a challenging task for computer vision. While feature-learning machines in the form of hierarchi...
Amr Ahmed, Kai Yu, Wei Xu, Yihong Gong, Eric P. Xi...
EWCBR
1998
Springer
14 years 2 months ago
Similarity Measures for Object-Oriented Case Representations
Object-oriented case representations require approaches for similarity assessment that allow to compare two differently structured objects, in particular, objects belonging to diff...
Ralph Bergmann, Armin Stahl
CVPR
2006
IEEE
14 years 11 months ago
Learning Object Shape: From Drawings to Images
We consider the important challenge of recognizing a variety of deformable object classes in images. Of fundamental importance and particular difficulty in this setting is the pro...
Gal Elidan, Geremy Heitz, Daphne Koller
VL
2010
IEEE
209views Visual Languages» more  VL 2010»
13 years 8 months ago
Automatically Inferring ClassSheet Models from Spreadsheets
Many errors in spreadsheet formulas can be avoided if spreadsheets are built automatically from higher-level models that can encode and enforce consistency constraints. However, d...
Jacome Cunha, Martin Erwig, Joao Saraiva
WWW
2011
ACM
13 years 4 months ago
Towards semantic knowledge propagation from text corpus to web images
In this paper, we study the problem of transfer learning from text to images in the context of network data in which link based bridges are available to transfer the knowledge bet...
Guojun Qi, Charu C. Aggarwal, Thomas Huang