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ECCV
2008
Springer
16 years 8 months ago
Unsupervised Structure Learning: Hierarchical Recursive Composition, Suspicious Coincidence and Competitive Exclusion
Abstract. We describe a new method for unsupervised structure learning of a hierarchical compositional model (HCM) for deformable objects. The learning is unsupervised in the sense...
Long Zhu, Chenxi Lin, Haoda Huang, Yuanhao Chen, A...
CVPR
2012
IEEE
13 years 9 months ago
Weakly supervised structured output learning for semantic segmentation
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
Alexander Vezhnevets, Vittorio Ferrari, Joachim M....
SIGMOD
2009
ACM
185views Database» more  SIGMOD 2009»
16 years 7 months ago
Attacks on privacy and deFinetti's theorem
In this paper we present a method for reasoning about privacy using the concepts of exchangeability and deFinetti's theorem. We illustrate the usefulness of this technique by...
Daniel Kifer
GRID
2004
Springer
16 years 3 days ago
On The Feasibility of Running Entity-Level Simulations on Grid Platforms
Scientists have long relied on abstract models to study phenomena that are too complex for direct observation and experimentation. As new scientific modeling methodologies emerge...
Alan Su, Francine Berman, Henri Casanova
RE
2004
Springer
16 years 2 days ago
Goal-Oriented Requirements Animation
Requirements engineers need to make sure that the requirements models and specifications they are building do accurately capture what stakeholders really want. Requirements animat...
Hung Tran Van, Axel van Lamsweerde, Philippe Masso...