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AAAI
2006
15 years 4 months ago
Embedding Heterogeneous Data Using Statistical Models
Embedding algorithms are a method for revealing low dimensional structure in complex data. Most embedding algorithms are designed to handle objects of a single type for which pair...
Amir Globerson, Gal Chechik, Fernando Pereira, Naf...
116
Voted
TCAD
2008
119views more  TCAD 2008»
15 years 2 months ago
Energy and Performance Optimization of Demand Paging With OneNAND Flash
New fusion memory devices consisting of multiple heterogeneous memory components in a single die or package offer efficient ways to optimize embedded systems in terms of energy, pe...
Yongsoo Joo, Yongseok Choi, Jaehyun Park, Chanik P...
117
Voted
IAT
2007
IEEE
15 years 9 months ago
A Self-Organization Process for Communication Management in Embedded Multiagent Systems
This paper deals with a multiagent self-organization process aiming to give adaptive features to distributed embedded systems involving intelligent agents in open real world. We p...
Michel Occello, Jean-Paul Jamont
ICANN
2009
Springer
15 years 9 months ago
Simbed: Similarity-Based Embedding
Simbed, standing for similarity-based embedding, is a new method of embedding high-dimensional data. It relies on the preservation of pairwise similarities rather than distances. I...
John Aldo Lee, Michel Verleysen
114
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AAAI
1998
15 years 4 months ago
Design Principles for Intelligent Environments
This paper describes design criteria for creating highly embedded, interactive spaces that we call Intelligent Environments. The motivation for building these systems is to bring ...
Michael H. Coen