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RAS
2006
100views more  RAS 2006»
13 years 7 months ago
Sampling and node adding in probabilistic roadmap planners
The probabilistic roadmap approach is one of the leading motion planning techniques. Over the past decade the technique has been studied by many different researchers. This has le...
Roland Geraerts, Mark H. Overmars
ISWC
2000
IEEE
14 years 16 hour ago
Finding Location Using Omnidirectional Video on a Wearable Computing Platform
In this paper we present a framework for a navigation system in an indoor environment using only omnidirectional video. Within a Bayesian framework we seek the appropriate place a...
Wasinee Rungsarityotin, Thad Starner
IJCAI
1997
13 years 9 months ago
A Study of Causal Discovery With Weak Links and Small Samples
Weak causal relationships and small sample size pose two significant difficulties to the automatic discovery of causal models from observational data. This paper examines the infl...
Honghua Dai, Kevin B. Korb, Chris S. Wallace, Xind...
JMLR
2010
139views more  JMLR 2010»
13 years 2 months ago
Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines
Alternating Gibbs sampling is the most common scheme used for sampling from Restricted Boltzmann Machines (RBM), a crucial component in deep architectures such as Deep Belief Netw...
Guillaume Desjardins, Aaron C. Courville, Yoshua B...
ICALP
1998
Springer
13 years 12 months ago
Optimal Sampling Strategies in Quicksort
It is well known that the performance of quicksort can be improved by selecting the median of a sample of elements as the pivot of each partitioning stage. For large samples the pa...
Conrado Martínez, Salvador Roura