-
1
-
-
84885594094
-
An inner product space on irreducible and synchronizable probabilistic finite state automata
-
Adenis, P., Wen, Y., and Ray, A. (2012). An inner product space on irreducible and synchronizable probabilistic finite state automata. Math. Control Signals Syst. 23, 281–310. doi:10.1007/s00498-012-0075-1
-
(2012)
Math. Control Signals Syst.
, vol.23
, pp. 281-310
-
-
Adenis, P.1
Wen, Y.2
Ray, A.3
-
2
-
-
10944251332
-
Particle methods for change detection, system identification, and control
-
Andrieu, C., Doucet, A., Singh, S., and Tadic, V. B. (2004). Particle methods for change detection, system identification, and control. Proc. IEEE 92, 423–438. doi:10.1109/JPROC.2003.823142
-
(2004)
Proc. IEEE
, vol.92
, pp. 423-438
-
-
Andrieu, C.1
Doucet, A.2
Singh, S.3
Tadic, V.B.4
-
3
-
-
84883542154
-
Performance comparison of feature extraction algorithms for target detection and clas-sification
-
Bahrampour, S., Ray,A., Sarkar, S., Damarla, T., and Nasrabadi, N. M. (2013). Performance comparison of feature extraction algorithms for target detection and clas-sification. Pattern Recognit. Lett. 34, 2126–2134. doi:10.1016/j.patrec.2013.06.021
-
(2013)
Pattern Recognit. Lett.
, vol.34
, pp. 21262134
-
-
Bahrampour, S.1
Ray, A.2
Sarkar, S.3
Damarla, T.4
Nasrabadi, N.M.5
-
5
-
-
0000552986
-
Mutual information relevance net-works:Functional genomic clustering using pairwise entropy measurements
-
Island of Oahu, Hawaii
-
Butte, A. J., and Kohane, I. S. (2000). “Mutual information relevance net-works:functional genomic clustering using pairwise entropy measurements,” in Pacific Symposium on Biocomputing (Island of Oahu, Hawaii), 418–429.
-
(2000)
Pacific Symposium on Biocomputing
, pp. 418429
-
-
Butte, A.J.1
Kohane, I.S.2
-
7
-
-
33750071718
-
A scoring function for learning Bayesian networks based on mutual information and conditional independence tests
-
de Campos, L. M. (2006). A scoring function for learning Bayesian networks based on mutual information and conditional independence tests. J. Mach. Learn. Res. 7, 2149–2187.
-
(2006)
J. Mach. Learn. Res.
, vol.7
, pp. 21492187
-
-
de Campos, L.M.1
-
8
-
-
69949112755
-
Mining abnormal patterns from heterogeneous time-series with irrelevant fea-tures for fault event detection
-
Fujimaki, R., Nakata, T., Tsukahara, H., Sato, A., and Yamanishi, K. (2009). Mining abnormal patterns from heterogeneous time-series with irrelevant fea-tures for fault event detection. Stat. Anal. Data Min. 2, 1–17. doi:10.1002/sam. 10030
-
(2009)
Stat. Anal. Data Min.
, vol.2
, pp. 1-17
-
-
Fujimaki, R.1
Nakata, T.2
Tsukahara, H.3
Sato, A.4
Yamanishi, K.5
-
10
-
-
0342762071
-
Deterministic nonlinear observer-based approaches to fault diagnosis: A survey
-
Garcia, E. A., and Frank, P. M. (1997). Deterministic nonlinear observer-based approaches to fault diagnosis: a survey. Control Eng. Pract. 5, 663–670. doi:10. 1016/S0967-0661(97)00048-8
-
(1997)
Control Eng. Pract.
, vol.5
, pp. 663670
-
-
Garcia, E.A.1
Frank, P.M.2
-
12
-
-
0024122587
-
Survey of model-based failure detection and isolation in complex plants
-
Gertler, J. J. (1988). Survey of model-based failure detection and isolation in complex plants. IEEE Control Syst. Mag. 8, 3–11. doi:10.1109/37.9163
-
(1988)
IEEE Control Syst. Mag.
, vol.8
, pp. 3-11
-
-
Gertler, J.J.1
-
13
-
-
85131253540
-
A multiple model predictive scheme for fault-tolerant flight control design
-
Gopinathan, M., Boskovic, J. D., Mehra, R. K., and Rago, C. (1998). “A multiple model predictive scheme for fault-tolerant flight control design,” in Conference on Decision and Control (Tampa, FL), 1376–1381.
-
(1998)
Conference on Decision and Control (Tampa, FL)
, pp. 13761381
-
-
Gopinathan, M.1
Boskovic, J.D.2
Mehra, R.K.3
Rago, C.4
-
16
-
-
0033723743
-
A new method for the nonlinear transformation of means and covariances in filters and estimators
-
Julier, S., Uhlmann, J., and Durrant-Whyte, H. F. (2000). A new method for the nonlinear transformation of means and covariances in filters and estimators. IEEE Trans. Automat. Contr. 45, 477–482. doi:10.1109/9.847726
-
(2000)
IEEE Trans. Automat. Contr.
, vol.45
, pp. 477-482
-
-
Julier, S.1
Uhlmann, J.2
Durrant-Whyte, H.F.3
-
17
-
-
84455169163
-
Efficient information-theoretic graph pruning for graph-based slam with laser range finders
-
Kretzschmar, H., Stachniss, C., and Grisetti, G. (2011). “Efficient information-theoretic graph pruning for graph-based slam with laser range finders,” in International Conference on Intelligent Robots and Systems (IROS) (San Francisco, CA), 865–871.
-
(2011)
International Conference on Intelligent Robots and Systems (IROS) (San Francisco, CA)
, pp. 865871
-
-
Kretzschmar, H.1
Stachniss, C.2
Grisetti, G.3
-
18
-
-
0035435254
-
Particle filtering based likelihood ratio approach to fault diagnosis in nonlinear stochastic systems
-
Li, P., and Kadirkamanathan, V. (2001). Particle filtering based likelihood ratio approach to fault diagnosis in nonlinear stochastic systems. IEEE Trans. Syst. Man Cybern. 31, 337–343. doi:10.1109/5326.971661
-
(2001)
IEEE Trans. Syst. Man Cybern.
, vol.31
, pp. 337343
-
-
Li, P.1
Kadirkamanathan, V.2
-
19
-
-
84904335572
-
Real-time estimation of lead-acid bat-tery parameters: A dynamic data-driven approach
-
Li, Y., Shen, Z., Ray, A., and Rahn, C. (2014). Real-time estimation of lead-acid bat-tery parameters: a dynamic data-driven approach. J. Power Sources 268, 758–764. doi:10.1016/j.jpowsour.2014.06.099
-
(2014)
J. Power Sources
, vol.268
, pp. 758-764
-
-
Li, Y.1
Shen, Z.2
Ray, A.3
Rahn, C.4
-
20
-
-
0037145628
-
Fault detection method for nonlinear systems based on probabilistic neural network filtering
-
Liu, J., and Scherpen, J. M. A. (2002). Fault detection method for nonlinear systems based on probabilistic neural network filtering. Int. J. Syst. Sci. 33, 1039–1050. doi:10.1080/0020772021000046216
-
(2002)
Int. J. Syst. Sci.
, vol.33
, pp. 1039-1050
-
-
Liu, J.1
Scherpen, J.M.A.2
-
21
-
-
40649118268
-
Hidden Markov models and Gaussian mixture models for bearing fault detection using fractals
-
Marwala, T., Mahola, U., and Nelwamondo, F. (2006). “Hidden Markov models and Gaussian mixture models for bearing fault detection using fractals,” in Proceedings of International Joint Conference on Neural Networks (Vancouver, BC), 3237–3242.
-
(2006)
Proceedings of International Joint Conference on Neural Networks (Vancouver, BC)
, pp. 32373242
-
-
Marwala, T.1
Mahola, U.2
Nelwamondo, F.3
-
22
-
-
84899660625
-
State splitting and merging in probabilistic finite state automata for signal representation and analysis
-
Mukherjee, K., and Ray, A. (2014). State splitting and merging in probabilistic finite state automata for signal representation and analysis. Signal Processing 104, 105–119. doi:10.1016/j.sigpro.2014.03.045
-
(2014)
Signal Processing
, vol.104
, pp. 105-119
-
-
Mukherjee, K.1
Ray, A.2
-
23
-
-
0013288412
-
-
Ph.D. thesis, University of California, Berkeley, CA
-
Murphy, K. P. (2002). Dynamic Bayesian Networks: Representation, Inference and Learning. Ph.D. thesis, University of California, Berkeley, CA.
-
(2002)
Dynamic Bayesian Networks: Representation, Inference and Learning.
-
-
Murphy, K.P.1
-
24
-
-
0142226215
-
A fault tolerant flight control system for sensor and actuator failures using neural networks
-
Napolitano, M. R., An, Y., and Seanor, B. A. (2000). A fault tolerant flight control system for sensor and actuator failures using neural networks. Aircr. Des. 3, 103–128. doi:10.1016/S1369-8869(00)00009-4
-
(2000)
Aircr. Des.
, vol.3
, pp. 103128
-
-
Napolitano, M.R.1
An, Y.2
Seanor, B.A.3
-
25
-
-
33745496690
-
Symbolic time series analysis via wavelet-based partitioning
-
Rajagopalan, V., and Ray, A. (2006). Symbolic time series analysis via wavelet-based partitioning. Signal Processing 86, 3309–3320. doi:10.1016/j.sigpro.2006.01.014
-
(2006)
Signal Processing
, vol.86
, pp. 3309-3320
-
-
Rajagopalan, V.1
Ray, A.2
-
26
-
-
70350662964
-
Review and comparative evaluation of symbolic dynamic filtering for detection of anomaly patterns
-
Rao, C., Ray, A., Sarkar, S., and Yasar, M. (2009). Review and comparative evaluation of symbolic dynamic filtering for detection of anomaly patterns. Signal Image Video Process. 3, 101–114. doi:10.1007/s11760-008-0061-8
-
(2009)
Signal Image Video Process
, vol.3
, pp. 101-114
-
-
Rao, C.1
Ray, A.2
Sarkar, S.3
Yasar, M.4
-
27
-
-
2642522033
-
Symbolic dynamic analysis of complex systems for anomaly detec-tion
-
Ray, A. (2004). Symbolic dynamic analysis of complex systems for anomaly detec-tion. Signal Processing 84, 1115–1130. doi:10.1016/j.sigpro.2004.03.011
-
(2004)
Signal Processing
, vol.84
, pp. 11151130
-
-
Ray, A.1
|