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» Generating Satisfiable Problem Instances
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NCA
2007
IEEE
15 years 2 months ago
Using evolution to improve neural network learning: pitfalls and solutions
: Autonomous neural network systems typically require fast learning and good generalization performance, and there is potentially a trade-off between the two. The use of evolutiona...
John A. Bullinaria
SPRINGSIM
2010
15 years 1 months ago
GTNA: a framework for the graph-theoretic network analysis
Concise and reliable graph-theoretic analysis of complex networks today is a cumbersome task, consisting essentially of the adaptation of intricate libraries for each specific pr...
Benjamin Schiller, Dirk Bradler, Immanuel Schweize...
TOG
2010
64views more  TOG 2010»
14 years 9 months ago
K-set tilable surfaces
This paper introduces a method for optimizing the tiles of a quadmesh. Given a quad-based surface, the goal is to generate a set of K quads whose instances can produce a tiled sur...
Chi-Wing Fu, Chi-Fu Lai, Ying He 0001, Daniel Cohe...
ICCV
2011
IEEE
14 years 3 months ago
Domain Adaptation for Object Recognition: An Unsupervised Approach
Adapting the classifier trained on a source domain to recognize instances from a new target domain is an important problem that is receiving recent attention. In this paper, we p...
Raghuraman Gopalan, Ruonan Li, Rama Chellappa
ICDCN
2010
Springer
15 years 10 months ago
Bandwidth Provisioning in Infrastructure-Based Wireless Networks Employing Directional Antennas
Abstract— Motivated by the widespread proliferation of wireless networks employing directional antennas, we study the problem of provisioning bandwidth in such networks. Given a ...
Shiva Prasad Kasiviswanathan, Bo Zhao, Sudarshan V...