226 search results - page 29 / 46 » Tuning experiments with an adaptive computational framework |
ICCS
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. The innovation of this work is a simple vectorizable algorithm for performing sparse matrix vector multiply in compressed sparse row (CSR) storage format. Unlike the vect...
EMNLP
2007
13 years 9 months ago
2007
This paper provides an algorithmic framework for learning statistical models involving directed spanning trees, or equivalently non-projective dependency structures. We show how p...
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
Abstract. This paper presents a novel approach to unsupervised texture segmentation that relies on a very general nonparametric statistical model of image neighborhoods. The method...
ICCV
2009
IEEE
13 years 5 months ago
2009
IEEE
Most motion-based tracking algorithms assume that objects undergo rigid motion, which is most likely disobeyed in real world. In this paper, we present a novel motionbased trackin...
IPPS
1999
IEEE
13 years 12 months ago
1999
IEEE
The ability to dynamically adapt an unstructured grid (or mesh) is a powerful tool for solving computational problems with evolving physical features; however, an efficient parall...