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» Quantization of Sparse Representations
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CVPR
2012
IEEE
11 years 10 months ago
Submodular dictionary learning for sparse coding
A greedy-based approach to learn a compact and discriminative dictionary for sparse representation is presented. We propose an objective function consisting of two components: ent...
Zhuolin Jiang, Guangxiao Zhang, Larry S. Davis
CVPR
2005
IEEE
14 years 9 months ago
A Sparse Object Category Model for Efficient Learning and Exhaustive Recognition
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a semisupervised manner: the model is learnt from example ...
Robert Fergus, Pietro Perona, Andrew Zisserman
ICCV
2005
IEEE
14 years 9 months ago
Sparse Image Coding Using a 3D Non-Negative Tensor Factorization
We introduce an algorithm for a non-negative 3D tensor factorization for the purpose of establishing a local parts feature decomposition from an object class of images. In the pas...
Tamir Hazan, Simon Polak, Amnon Shashua
ICCV
2001
IEEE
14 years 9 months ago
Determining Reflectance Parameters and Illumination Distribution from a Sparse Set of Images for View-dependent Image Synthesis
A framework for photo-realistic view-dependent image synthesis of a shiny object from a sparse set of images and a geometric model is proposed. Each image is aligned with the 3D m...
Ko Nishino, Zhengyou Zhang, Katsushi Ikeuchi
ICRA
2009
IEEE
162views Robotics» more  ICRA 2009»
14 years 2 months ago
SLAM in large indoor environments with low-cost, noisy, and sparse sonars
— Simultaneous localization and mapping (SLAM) is a well-studied problem in mobile robotics. However, the majority of the proposed techniques for SLAM rely on the use of accurate...
Teddy N. Yap Jr., Christian R. Shelton