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» Generating Surface Textures based on Cellular Networks
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211
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JMLR
2010
185views more  JMLR 2010»
15 years 1 months ago
Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers
We introduce a simple order-based greedy heuristic for learning discriminative structure within generative Bayesian network classifiers. We propose two methods for establishing an...
Franz Pernkopf, Jeff A. Bilmes
KIVS
2005
Springer
16 years 6 days ago
The FOKUS Open SIP AS - A Service Platform for NGN
: Evolutionary, a Next Generation Network (NGN) is a significant improvement of a successfully existing network. The third Generation Partnership Project (3GPP) aimed to merge two ...
Elmar Fasel, Karsten Knuettel, Thomas Magedanz
163
Voted
SAC
2004
ACM
16 years 4 days 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
ICPR
2004
IEEE
16 years 7 months ago
Neural Network Based Modeling and Color Rendering for Mixed Reality
This paper describes a new approach to color image rendering for mixed reality applications. The approach has two steps. The first uses neural network based photometric stereo to ...
Haruki Kawanaka, Kenji Funahashi, Robert J. Woodha...
199
Voted
SI3D
2010
ACM
16 years 23 hour ago
LEAN mapping
We introduce Linear Efficient Antialiased Normal (LEAN) Mapping, a method for real-time filtering of specular highlights in bump and normal maps. The method evaluates bumps as p...
Marc Olano, Dan Baker