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» Classifying Problems into Complexity Classes
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WWW
2011
ACM
13 years 5 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
CVPR
2009
IEEE
15 years 5 months ago
Unsupervised Learning of Hierarchical Spatial Structures In Images
The visual world demonstrates organized spatial patterns, among objects or regions in a scene, object-parts in an object, and low-level features in object-parts. These classes o...
Devi Parikh (Carnegie Mellon University), C. Lawre...
CVPR
2009
IEEE
15 years 5 months ago
Co-training with Noisy Perceptual Observations
Many perception and multimedia indexing problems involve datasets that are naturally comprised of multiple streams or modalities for which supervised training data is only sparsely...
Ashish Kapoor, Chris Mario Christoudias, Raquel Ur...
CVPR
2006
IEEE
15 years 2 days ago
Multiclass Object Recognition with Sparse, Localized Features
We apply a biologically inspired model of visual object recognition to the multiclass object categorization problem. Our model modifies that of Serre, Wolf, and Poggio. As in that...
Jim Mutch, David G. Lowe
MICCAI
2004
Springer
14 years 11 months ago
Enhancing Fourier Volume Rendering Using Contour Extraction
Fourier Volume Rendering (FVR) has received considerable attention in volume visualization during the last decade due its O(N2 logN) rendering time complexity, where O(N3 ) is the ...
Zoltán Nagy, Marcin Novotni, Reinhard Klein