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» Efficient Learning to Label Images
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IEEEVAST
2010
14 years 4 months ago
A visual analytics approach to model learning
The process of learning models from raw data typically requires a substantial amount of user input during the model initialization phase. We present an assistive visualization sys...
Supriya Garg, I. V. Ramakrishnan, Klaus Mueller
SLSFS
2005
Springer
15 years 3 months ago
Constructing Visual Models with a Latent Space Approach
We propose the use of latent space models applied to local invariant features for object classification. We investigate whether using latent space models enables to learn patterns...
Florent Monay, Pedro Quelhas, Daniel Gatica-Perez,...
CVPR
2009
IEEE
16 years 5 months ago
Shared Kernel Information Embedding for Discriminative Inference
Latent Variable Models (LVM), like the Shared-GPLVM and the Spectral Latent Variable Model, help mitigate over- fitting when learning discriminative methods from small or modera...
David J. Fleet, Leonid Sigal, Roland Memisevic
CAIP
2009
Springer
140views Image Analysis» more  CAIP 2009»
15 years 1 months ago
Hierarchical Decomposition of Handwritten Manuscripts Layouts
Abstract. In this paper we propose a new approach to improve electronic editions of literary corpus, providing an efficient estimation of manuscripts pages structure. In any handwr...
Vincent Malleron, Véronique Eglin, Hubert E...
IJCV
2002
112views more  IJCV 2002»
14 years 9 months ago
Range Segmentation Using Visibility Constraints
Visibility constraints can aid the segmentation of foreground objects in a scene observed with multiple range imagers. Points may be labeled as foreground if they can be determine...
Leonid Taycher, Trevor Darrell