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» Data Reduction Using Multiple Models Integration
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NIPS
2004
14 years 11 months ago
Multiple Relational Embedding
We describe a way of using multiple different types of similarity relationship to learn a low-dimensional embedding of a dataset. Our method chooses different, possibly overlappin...
Roland Memisevic, Geoffrey E. Hinton
99
Voted
PERCOM
2010
ACM
14 years 8 months ago
Towards the adaptive integration of multiple context reasoners in pervasive computing environments
Abstract—The pervasive computing vision consists in realizing ubiquitous technologies to support the execution of people’s everyday tasks by proactively providing appropriate i...
Daniele Riboni, Linda Pareschi, Claudio Bettini
RTAS
2010
IEEE
14 years 8 months ago
DARTS: Techniques and Tools for Predictably Fast Memory Using Integrated Data Allocation and Real-Time Task Scheduling
—Hardware-managed caches introduce large amounts of timing variability, complicating real-time system design. One alternative is a memory system with scratchpad memories which im...
Sangyeol Kang, Alexander G. Dean
WSCG
2004
232views more  WSCG 2004»
14 years 11 months ago
Robust Tracking of Athletes Using Multiple Features of Multiple Views
This paper presents a robust and reconfigurable object tracker that integrates multiple visual features from multiple views. The tandem modular architecture stepwise refines the e...
Toshihiko Misu, Seiichi Gohshi, Yoshinori Izumi, Y...
KES
2008
Springer
14 years 9 months ago
A Secure Mediator for Integrating Multiple Level Access Control Policies
Abstract. We present a method for mapping security levels among the components of a distributed system where data in the local sources are represented in XML. Distributed data is i...
Isabel F. Cruz, Rigel Gjomemo, Mirko Orsini