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CVPR
2010
IEEE
16 years 2 months ago
Supervised Translation-Invariant Sparse Coding
In this paper, we propose a novel supervised hierarchical sparse coding model based on local image descriptors for classification tasks. The supervised dictionary training is perf...
Jianchao Yang, Kai Yu, Thomas Huang
CVPR
2010
IEEE
16 years 2 months ago
Learning Shift-Invariant Sparse Representation of Actions
A central problem in the analysis of motion capture (Mo- Cap) data is how to decompose motion sequences into primitives. Ideally, a description in terms of primitives should fac...
Yi Li
AVSS
2009
IEEE
16 years 1 months ago
A model change detection approach to dynamic scene modeling
—In this work we propose a dynamic scene model to provide information about the presence of salient motion in the scene, and that could be used for focusing the attention of a pa...
Seon Joo Kim, Gianfranco Doretto, Jens Rittscher, ...
ISBI
2009
IEEE
16 years 1 months ago
Direct Adaptive Algorithms for CT Reconstruction
This work concerns with linear and spatially-adaptive direct reconstruction algorithms for 2-D parallel-beam transmission tomography, extending the Filtered Back-Projection (FBP)....
Joseph Shtok, Michael Elad, Michael Zibulevsky
IROS
2009
IEEE
142views Robotics» more  IROS 2009»
16 years 28 days ago
Reduced state representation in delayed-state SLAM
— This paper introduces an approach that reduces the size of the state and maximizes the sparsity of the information matrix in exactly sparse delayed-state SLAM. We propose const...
Viorela Ila, Josep M. Porta, Juan Andrade-Cetto