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» Generating Satisfiable Problem Instances
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NCA
2007
IEEE
13 years 7 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
13 years 6 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»
13 years 2 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
12 years 7 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
14 years 2 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...