• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Advanced Search Include Citations

Tools

Sorted by:
Try your query at:
Semantic Scholar Scholar Academic
Google Bing DBLP
Results 1 - 10 of 15,051
Next 10 →

A Probabilistic Approach to Concurrent Mapping and Localization for Mobile Robots

by Sebastian Thrun, Wolfram Burgard, Dieter Fox, Henry Hexmoor, Maja Mataric - Machine Learning , 1998
"... . This paper addresses the problem of building large-scale geometric maps of indoor environments with mobile robots. It poses the map building problem as a constrained, probabilistic maximum-likelihood estimation problem. It then devises a practical algorithm for generating the most likely map from ..."
Abstract - Cited by 483 (43 self) - Add to MetaCart
. This paper addresses the problem of building large-scale geometric maps of indoor environments with mobile robots. It poses the map building problem as a constrained, probabilistic maximum-likelihood estimation problem. It then devises a practical algorithm for generating the most likely map from

Dynamics: A Probabilistic Approach

by A Service Of, Robert Neusser, Klaus Steiner, Robert Aebi, Klaus Neusser, Peter Steiner, Robert Aebi, Klaus Neusser , 1999
"... Evaluation theories of the income dynamics: A probabilistic approach ..."
Abstract - Add to MetaCart
Evaluation theories of the income dynamics: A probabilistic approach

(probabilistic approach)

by unknown authors , 2008
"... On automorphisms of type II Arveson systems ..."
Abstract - Add to MetaCart
On automorphisms of type II Arveson systems

(probabilistic approach)

by unknown authors , 2008
"... On automorphisms of type II Arveson systems ..."
Abstract - Add to MetaCart
On automorphisms of type II Arveson systems

(probabilistic approach)

by unknown authors , 2004
"... On automorphisms of type II Arveson systems ..."
Abstract - Add to MetaCart
On automorphisms of type II Arveson systems

Probabilistic Principal Component Analysis

by Michael E. Tipping, Chris M. Bishop - JOURNAL OF THE ROYAL STATISTICAL SOCIETY, SERIES B , 1999
"... Principal component analysis (PCA) is a ubiquitous technique for data analysis and processing, but one which is not based upon a probability model. In this paper we demonstrate how the principal axes of a set of observed data vectors may be determined through maximum-likelihood estimation of paramet ..."
Abstract - Cited by 709 (5 self) - Add to MetaCart
of parameters in a latent variable model closely related to factor analysis. We consider the properties of the associated likelihood function, giving an EM algorithm for estimating the principal subspace iteratively, and discuss, with illustrative examples, the advantages conveyed by this probabilistic approach

The probabilistic approach to human reasoning

by Mike Oaksford, Nick Chater, Mike Oaksford, Nick Chater - Trends in Cognitive Sciences , 2001
"... A recent development in the cognitive science of reasoning has been the emergence of a probabilistic approach to the behaviour observed on ostensibly logical tasks. According to this approach the errors and biases documented on these tasks occur because people import their everyday uncertain reasoni ..."
Abstract - Cited by 53 (2 self) - Add to MetaCart
A recent development in the cognitive science of reasoning has been the emergence of a probabilistic approach to the behaviour observed on ostensibly logical tasks. According to this approach the errors and biases documented on these tasks occur because people import their everyday uncertain

Image segmentation in video sequences: A probabilistic approach

by Nir Friedman, Stuart Russell , 1997
"... "Background subtraction" is an old technique for finding moving objects in a video sequence---for example, cars driving on a freeway. The idea is that subtracting the current image from a time-averaged background image will leave only nonstationary objects. It is, however, a crude approxim ..."
Abstract - Cited by 256 (0 self) - Add to MetaCart
"Background subtraction" is an old technique for finding moving objects in a video sequence---for example, cars driving on a freeway. The idea is that subtracting the current image from a time-averaged background image will leave only nonstationary objects. It is, however, a crude approximation to the task of classifying each pixel of the current image

A Probabilistic Approach to Diagnosis

by Jon Williamson - Proceedings of the Eleventh International Workshop on Principles of Diagnosis (DX-00 , 2000
"... This paper addresses the foundations of diagnostic reasoning, in particular the viability of a probabilistic approach. One might be reluctant to adopt such an approach for one of two reasons: one may suppose that the probabilistic approach is inappropriate or that it is impractical to implement. I s ..."
Abstract - Cited by 4 (1 self) - Add to MetaCart
This paper addresses the foundations of diagnostic reasoning, in particular the viability of a probabilistic approach. One might be reluctant to adopt such an approach for one of two reasons: one may suppose that the probabilistic approach is inappropriate or that it is impractical to implement. I

A Probabilistic Approach to Collaborative Multi-Robot Localization

by Dieter Fox, Wolfram Burgard , Hannes Kruppa, Sebastian Thrun , 2000
"... This paper presents a statistical algorithm for collaborative mobile robot localization. Our approach uses a sample-based version of Markov localization, capable of localizing mobile robots in an any-time fashion. When teams of robots localize themselves in the same environment, probabilistic method ..."
Abstract - Cited by 239 (18 self) - Add to MetaCart
This paper presents a statistical algorithm for collaborative mobile robot localization. Our approach uses a sample-based version of Markov localization, capable of localizing mobile robots in an any-time fashion. When teams of robots localize themselves in the same environment, probabilistic
Next 10 →
Results 1 - 10 of 15,051
Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University