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» Compositional performance modelling with the TIPPtool
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ECCV
2008
Springer
15 years 11 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...
KDD
2012
ACM
220views Data Mining» more  KDD 2012»
13 years 2 days ago
ComSoc: adaptive transfer of user behaviors over composite social network
Accurate prediction of user behaviors is important for many social media applications, including social marketing, personalization and recommendation, etc. A major challenge lies ...
ErHeng Zhong, Wei Fan, Junwei Wang, Lei Xiao, Yong...
EMNLP
2007
14 years 11 months ago
Detecting Compositionality of Verb-Object Combinations using Selectional Preferences
In this paper we explore the use of selectional preferences for detecting noncompositional verb-object combinations. To characterise the arguments in a given grammatical relations...
Diana McCarthy, Sriram Venkatapathy, Aravind K. Jo...
CBSE
2010
Springer
15 years 2 months ago
A Three-Tier Approach for Composition of Real-Time Embedded Software Stacks
Abstract. Many component models and frameworks have been proabstract and capture concerns from Real-Time and Embedded application domains, based on high-level component-based appro...
Frédéric Loiret, Lionel Seinturier, ...
54
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IROS
2009
IEEE
133views Robotics» more  IROS 2009»
15 years 4 months ago
Roadmap composition for multi-arm systems path planning
— This paper presents a new method for planning motions of multi-arm systems in constrained workspaces, for which state-of-the-art planners behave poorly. The method is based on ...
Mokhtar Gharbi, Juan Cortés, Thierry Sim&ea...