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» Modeling Problem Transformations based on Data Complexity
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RAS
1998
150views more  RAS 1998»
15 years 5 months ago
Active Markov localization for mobile robots
Localization is the problem of determining the position of a mobile robot from sensor data. Most existing localization approaches are passive, i.e., they do not exploit the opport...
Dieter Fox, Wolfram Burgard, Sebastian Thrun
161
Voted
SAC
2008
ACM
15 years 5 months ago
Sensor stream reduction for clustered wireless sensor networks
This work presents the use of sensor stream reduction algorithms in clustered wireless sensor networks (WSNs), where the cluster head node is responsible to reduce the amount of d...
André L. L. de Aquino, Carlos Mauricio S. F...
DLS
2010
277views Languages» more  DLS 2010»
15 years 4 months ago
Factor: a dynamic stack-based programming language
Factor is a new dynamic object-oriented programming language. It began as an embedded scripting language and evolved to a mature application development language. The language has...
Sviatoslav Pestov, Daniel Ehrenberg, Joe Groff
165
Voted
JMLR
2010
123views more  JMLR 2010»
15 years 28 days ago
Inductive Principles for Restricted Boltzmann Machine Learning
Recent research has seen the proposal of several new inductive principles designed specifically to avoid the problems associated with maximum likelihood learning in models with in...
Benjamin Marlin, Kevin Swersky, Bo Chen, Nando de ...
175
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CVPR
2012
IEEE
13 years 8 months ago
2D/3D rotation-invariant detection using equivariant filters and kernel weighted mapping
In many vision problems, rotation-invariant analysis is necessary or preferred. Popular solutions are mainly based on pose normalization or brute-force learning, neglecting the in...
Kun Liu, Qing Wang, Wolfgang Driever, Olaf Ronnebe...
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