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ECCV
2006
Springer
14 years 9 months ago
Riemannian Manifold Learning for Nonlinear Dimensionality Reduction
In recent years, nonlinear dimensionality reduction (NLDR) techniques have attracted much attention in visual perception and many other areas of science. We propose an efficient al...
Tony Lin, Hongbin Zha, Sang Uk Lee
DEXA
2006
Springer
80views Database» more  DEXA 2006»
13 years 11 months ago
Scalable Automated Service Composition Using a Compact Directory Digest
The composition of services that are indexed in a large-scale service directory often involves many complex queries issued by the service composition algorithm to the directory. Th...
Walter Binder, Ion Constantinescu, Boi Faltings
DATE
1999
IEEE
194views Hardware» more  DATE 1999»
13 years 12 months ago
CRUSADE: Hardware/Software Co-Synthesis of Dynamically Reconfigurable Heterogeneous Real-Time Distributed Embedded Systems
Dynamically reconfigurable embedded systems offer potential for higher performance as well as adaptability to changing system requirements at low cost. Such systems employ run-tim...
Bharat P. Dav
ANOR
2010
102views more  ANOR 2010»
13 years 7 months ago
Ejection chain and filter-and-fan methods in combinatorial optimization
The design of effective neighborhood structures is fundamentally important for creating better local search and metaheuristic algorithms for combinatorial optimization. Significant...
César Rego, Fred Glover
SIGMETRICS
2010
ACM
181views Hardware» more  SIGMETRICS 2010»
13 years 7 months ago
A unified modeling framework for distributed resource allocation of general fork and join processing networks
This paper addresses the problem of distributed resource allocation in general fork and join processing networks. The problem is motivated by the complicated processing requiremen...
Haiquan (Chuck) Zhao, Cathy H. Xia, Zhen Liu, Dona...