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CVPR
2008
IEEE
16 years 5 months ago
Segmentation by transduction
This paper addresses the problem of segmenting an image into regions consistent with user-supplied seeds (e.g., a sparse set of broad brush strokes). We view this task as a statis...
Florent Ségonne, Jean Ponce, Jean-Yves Audi...
CVPR
2008
IEEE
16 years 5 months ago
Multiple-instance ranking: Learning to rank images for image retrieval
We study the problem of learning to rank images for image retrieval. For a noisy set of images indexed or tagged by the same keyword, we learn a ranking model from some training e...
Yang Hu, Mingjing Li, Nenghai Yu
RECOMB
2003
Springer
16 years 4 months ago
Maximum entropy modeling of short sequence motifs with applications to RNA splicing signals
We propose a framework for modeling sequence motifs based on the maximum entropy principle (MEP). We recommend approximating short sequence motif distributions with the maximum en...
Gene W. Yeo, Christopher B. Burge
QEST
2009
IEEE
15 years 10 months ago
Comparison of Two Output Models for the BMAP/MAP/1 Departure Process
—The departure process of a BMAP/MAP/1 queue can be approximated in different ways: as a Markovian arrival process (MAP) or as a matrix-exponential process (MEP). Both approximat...
Qi Zhang, Armin Heindl, Evgenia Smirni, Andreas St...
ECSQARU
2009
Springer
15 years 10 months ago
Local Computation Schemes with Partially Ordered Preferences
Many computational problems linked to reasoning under uncertainty can be expressed in terms of computing the marginal(s) of the combination of a collection of (local) valuation fun...
Hélène Fargier, Nic Wilson