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In this paper, we present cuLib, a R package that provides an easy-to-access interface for utilizing the computing power of NVIDIA GPU. The cuLib package aims to make GPU-based parallel programming easier, flexible and high-performance. It allows the use of GPU computing in R without further knowledge because the syntax for definition and manipulation of GPU data is similar to formal R language. cuLib...
In this paper, a new dual dictionaries learning (DDL) method is proposed for robust 3D human pose estimation. The performance and applicability of traditional methods are limited by a lack of robustness to corrupted observations caused by occlusions or poor background subtraction. Our DDL approach aims at simultaneously constructing two overcomplete dictionaries, called the visual observation dictionary...
In this paper, a new refined sparse subspace clustering (RSSC) method is proposed for robust motion segmentation. Given a set of trajectories of tracked feature points from multiple moving object, RSSC aims at seeking a sparse representation (SR) for each trajectory with respect to a recovered low-rank dictionary. The segmentation of motion is obtained by applying spectral clustering to the affinity...
A novel hierarchical fingerprint matching algorithm with low complexity is proposed, which is suitable for resource-constrained applications. By analyzing different support levels from coarse to fine matching based on the non-fixed local minutiae spatial relationships, the matching score is chosen from the sparse matrix representing the similarity. Experimental results show that the performance of...
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