1176 search results - page 104 / 236 » Sparse reward processes |
148
Voted
ICCV
2011
IEEE
14 years 4 months ago
2011
IEEE
Recognition of motions and activities of objects in videos requires effective representations for analysis and matching of motion trajectories. In this paper, we introduce a new r...
155
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AAAI
2010
15 years 5 months ago
2010
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...
175
Voted
CORR
2009
Springer
15 years 1 months ago
2009
Springer
Abstract. We apply Uppaal Tiga to automatically compute adaptive scheduling strategies for an industrial case study dealing with a state-of-the-art image processing pipeline of a p...
131
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ICASSP
2008
IEEE
15 years 10 months ago
2008
IEEE
Compressive Sensing (CS) uses a relatively small number of non-traditional samples in the form of randomized projections to reconstruct sparse or compressible signals. The Hough t...
143
Voted
ICCV
2011
IEEE
14 years 4 months ago
2011
IEEE
Point trajectories have emerged as a powerful means to obtain high quality and fully unsupervised segmentation of objects in video shots. They can exploit the long term motion dif...