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» Applying Distributed Object Technology to Network Planning
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ICML
2010
IEEE
13 years 9 months ago
Deep Supervised t-Distributed Embedding
Deep learning has been successfully applied to perform non-linear embedding. In this paper, we present supervised embedding techniques that use a deep network to collapse classes....
Martin Renqiang Min, Laurens van der Maaten, Zinen...
IPPS
2006
IEEE
14 years 2 months ago
Parallel morphological processing of hyperspectral image data on heterogeneous networks of computers
Recent advances in space and computer technologies are revolutionizing the way remotely sensed data is collected, managed and interpreted. The development of efficient techniques ...
Antonio J. Plaza
SAC
2004
ACM
14 years 2 months ago
A comparison of randomized and evolutionary approaches for optimizing base station site selection
It is increasingly important to optimally select base stations in the design of cellular networks, as customers demand cheaper and better wireless services. From a set of potentia...
Larry Raisanen, Roger M. Whitaker, Steve Hurley
MOBIHOC
2010
ACM
13 years 6 months ago
Detecting intra-room mobility with signal strength descriptors
We explore the problem of detecting whether a device has moved within a room. Our approach relies on comparing summaries of received signal strength measurements over time, which ...
Konstantinos Kleisouris, Bernhard Firner, Richard ...
GIR
2006
ACM
14 years 2 months ago
Identifying and grounding descriptions of places
In this paper we test the hypothesis Given a piece of text describing an object or concept our combined disambiguation method can disambiguate whether it is a place and ground it ...
Simon E. Overell, Stefan M. Rüger