-
1
-
-
84950788916
-
A noniterative sampling/importance resampling alternative to the data augmentation algorithm for creating a few imputations when fractions of missing information are modest: The SIR algorithm
-
D.B. Rubin A noniterative sampling/importance resampling alternative to the data augmentation algorithm for creating a few imputations when fractions of missing information are modest: the SIR algorithm Journal of the American Statistical Association 82 1987 543 546
-
(1987)
Journal of the American Statistical Association
, vol.82
, pp. 543-546
-
-
Rubin, D.B.1
-
2
-
-
0027580559
-
Novel approach to nonlinear/non-Gaussian Bayesian state estimation
-
N. Gordon, D. Salmond, and A. Smith Novel approach to nonlinear/non-Gaussian Bayesian state estimation Institutions Electrical Engineering Proceedings, Radar Signal Processing 140 2 1993 107 113
-
(1993)
Institutions Electrical Engineering Proceedings, Radar Signal Processing
, vol.140
, Issue.2
, pp. 107-113
-
-
Gordon, N.1
Salmond, D.2
Smith, A.3
-
3
-
-
47749108643
-
Functional sampling density design for particle filters
-
M. Šimandl, and O. Straka Functional sampling density design for particle filters Signal Processing 88 11 2008 2784 2789
-
(2008)
Signal Processing
, vol.88
, Issue.11
, pp. 2784-2789
-
-
Šimandl, M.1
Straka, O.2
-
4
-
-
34047102460
-
Smart particle filtering for high-dimensional tracking
-
DOI 10.1016/j.cviu.2005.09.013, PII S1077314206001731
-
M. Bray, E. Koller-Meier, and L. Van Gool Smart particle filtering for high-dimensional tracking Computer Vision and Image Understanding 106 2007 116 129 (Pubitemid 46528766)
-
(2007)
Computer Vision and Image Understanding
, vol.106
, Issue.1
, pp. 116-129
-
-
Bray, M.1
Koller-Meier, E.2
Van Gool, L.3
-
5
-
-
0003838905
-
-
Ph. D. Dissertation, University of Oxford, Oxford, U.K.
-
P. Fearnhead, Sequential Monte Carlo Methods in Filter Theory, Ph. D. Dissertation, University of Oxford, Oxford, U.K., 1998.
-
(1998)
Sequential Monte Carlo Methods in Filter Theory
-
-
Fearnhead, P.1
-
7
-
-
0003345004
-
Improving regularized particle filters
-
A. Doucet, N. de Freitas, J. Gordon, Springer-Verlag New York
-
C. Musso, N. Oudjane, and F. Legland Improving regularized particle filters A. Doucet, N. de Freitas, J. Gordon, Sequential Monte Carlo Methods in Practice 2001 Springer-Verlag New York 247 272
-
(2001)
Sequential Monte Carlo Methods in Practice
, pp. 247-272
-
-
Musso, C.1
Oudjane, N.2
Legland, F.3
-
8
-
-
54749115304
-
Risk-sensitive particle filters for mitigating sample impoverishment
-
U. Orguner, and F. Gustafsson Risk-sensitive particle filters for mitigating sample impoverishment IEEE Transactions on Signal Processing 56 10 2008 5001 5012
-
(2008)
IEEE Transactions on Signal Processing
, vol.56
, Issue.10
, pp. 5001-5012
-
-
Orguner, U.1
Gustafsson, F.2
-
9
-
-
77956723598
-
An improvement on resampling algorithm of particle filters
-
X. Fu, and Y. Jia An improvement on resampling algorithm of particle filters IEEE Transactions on Signal Processing 58 10 2010 5414 5420
-
(2010)
IEEE Transactions on Signal Processing
, vol.58
, Issue.10
, pp. 5414-5420
-
-
Fu, X.1
Jia, Y.2
-
10
-
-
69249209720
-
A new evolutionary particle filter for the prevention of sample impoverishment
-
S. Park, J.P. Hwang, E. Kim, and H. Kang A new evolutionary particle filter for the prevention of sample impoverishment IEEE Transactions on Signal Processing 13 4 2009 801 809
-
(2009)
IEEE Transactions on Signal Processing
, vol.13
, Issue.4
, pp. 801-809
-
-
Park, S.1
Hwang, J.P.2
Kim, E.3
Kang, H.4
-
11
-
-
77955274189
-
An ant stochastic decision based particle filter and its convergence
-
B. Xu, J. Zhu, and H. Xu An ant stochastic decision based particle filter and its convergence Signal Processing 90 9 2010 2731 2748
-
(2010)
Signal Processing
, vol.90
, Issue.9
, pp. 2731-2748
-
-
Xu, B.1
Zhu, J.2
Xu, H.3
-
12
-
-
0000978881
-
A theoretical framework for sequential importance sampling and resampling
-
A. Doucet, N. de Freitas, N. Gordon, Springer New York, NY, USA
-
J.S. Liu, R. Chen, and T. Logvinenko A theoretical framework for sequential importance sampling and resampling A. Doucet, N. de Freitas, N. Gordon, Sequential Monte Carlo Methods in Practice 2001 Springer New York, NY, USA 225 246
-
(2001)
Sequential Monte Carlo Methods in Practice
, pp. 225-246
-
-
Liu, J.S.1
Chen, R.2
Logvinenko, T.3
-
13
-
-
0013521749
-
Monte Carlo is fundamentally unsound
-
A. OHagan Monte Carlo is fundamentally unsound The Statistician 36 2/3 1987 247 249
-
(1987)
The Statistician
, vol.36
, Issue.2-3
, pp. 247-249
-
-
Ohagan, A.1
-
14
-
-
77955733455
-
Monte Carlo localization for mobile robot using adaptive particle merging and splitting technique
-
T. Li, S. Sun, J. Duan, Monte Carlo localization for mobile robot using adaptive particle merging and splitting technique, in: Proceedings of the 2010 IEEE International Conference on Information and Automation, 2010, pp. 19131918.
-
(2010)
Proceedings of the 2010 IEEE International Conference on Information and Automation
, pp. 1913-1918
-
-
Li, T.1
Sun, S.2
Duan, J.3
-
15
-
-
78049304702
-
Double-resampling based Monte Carlo localization for mobile robot
-
T. Li, and S. Sun Double-resampling based Monte Carlo localization for mobile robot Acta Automatica Sinica 36 9 2010 1279 1286
-
(2010)
Acta Automatica Sinica
, vol.36
, Issue.9
, pp. 1279-1286
-
-
Li, T.1
Sun, S.2
-
17
-
-
11844302910
-
Resampling algorithms for particle filters: A computational complexity perspective
-
DOI 10.1155/S1110865704405149, Particle Filtering in Signal Processing
-
M. Bolic, P.M. Djuric, and S.J. Hong Resampling algorithms for particle filters: a computational complexity perspective EURASIP Journal on Applied Signal Processing 2004 15 2004 2267 2277 (Pubitemid 40088500)
-
(2004)
Eurasip Journal on Applied Signal Processing
, vol.2004
, Issue.15
, pp. 2267-2277
-
-
Bolic, M.1
Djuric, P.M.2
Hong, S.3
-
18
-
-
42949131068
-
Real time object tracking using adaptive Kalman particle filter
-
(pp. 678630.1678630.9)
-
L. Gao, P. Targ, and Z. Liu Real time object tracking using adaptive Kalman particle filter Proceeding of SPIE 6786 2007 (pp. 678630.1678630.9)
-
(2007)
Proceeding of SPIE
, vol.6786
-
-
Gao, L.1
Targ, P.2
Liu, Z.3
-
19
-
-
33244460784
-
High-throughput scalable parallel resampling mechanism for effective redistribution of particles
-
DOI 10.1109/TSP.2005.863004
-
S.J. Hong, and P.M. Djuric High-throughput scalable parallel resampling mechanism for effective redistribution of particles IEEE Transactions on Signal Processing 54 3 2006 1144 1155 (Pubitemid 43280587)
-
(2006)
IEEE Transactions on Signal Processing
, vol.54
, Issue.3
, pp. 1144-1155
-
-
Hong, S.1
Djuric, P.M.2
-
21
-
-
70350055066
-
Tackling the premature convergence problem in Monte-Carlo localization
-
G. Kootstra, and B. de Boer Tackling the premature convergence problem in Monte-Carlo localization Robotics and Autonomous Systems 57 11 2009 1107 1118
-
(2009)
Robotics and Autonomous Systems
, vol.57
, Issue.11
, pp. 1107-1118
-
-
Kootstra, G.1
De Boer, B.2
-
25
-
-
0033723743
-
Method for the nonlinear transformation of means and covariances in filters and estimators
-
S. Julier, J. Uhlmann, H.F. Durrant-Whyte, and A New Method for the nonlinear transformation of means and covariances in filters and estimators IEEE Transactions on Automatic Control 45 3 2000 477 482
-
(2000)
IEEE Transactions on Automatic Control
, vol.45
, Issue.3
, pp. 477-482
-
-
Julier, S.1
Uhlmann, J.2
Durrant-Whyte, H.F.3
New, A.4
|