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ICANN
2009
Springer
14 years 1 months ago
Multimodal Sparse Features for Object Detection
In this paper the sparse coding principle is employed for the representation of multimodal image data, i.e. image intensity and range. We estimate an image basis for frontal face i...
Martin Haker, Thomas Martinetz, Erhardt Barth
CVPR
2010
IEEE
14 years 3 months ago
On Growth and Formlets: Sparse Multi-Scale Coding of Planar Shape
This paper presents a sparse representation of 2D planar shape through the composition of warping functions, termed formlets, localized in scale and space. Each formlet subjects t...
Timothy Oleskiw, James Elder, Gabriel Peyr
ACL
2012
11 years 9 months ago
Attacking Parsing Bottlenecks with Unlabeled Data and Relevant Factorizations
Prepositions and conjunctions are two of the largest remaining bottlenecks in parsing. Across various existing parsers, these two categories have the lowest accuracies, and mistak...
Emily Pitler
ECCV
2010
Springer
13 years 8 months ago
A High-Quality Video Denoising Algorithm Based on Reliable Motion Estimation
Although the recent advances in the sparse representations of images have achieved outstanding denosing results, removing real, structured noise in digital videos remains a challen...
Ce Liu, William T. Freeman
MICCAI
2000
Springer
13 years 10 months ago
Nonrigid Registration of 3D Scalar, Vector and Tensor Medical Data
New medical imaging modalities offering multi-valued data, such as phase contrast MRA and diffusion tensor MRI, require general representations for the development of automatized a...
Juan Ruiz-Alzola, Carl-Fredrik Westin, Simon K. Wa...