D. Lainiotis

发表

The Condensed Nearest Neighbor Rule

C. G. Hilborn, D. Lainiotis, C. Hilborn, 1967 .

Optimal adaptive estimation: Structure and parameter adaptation

D. Lainiotis, 1970 .

Recursive algorithm for the calculation of the adaptive Kalman filter weighting coefficients

D. Lainiotis, F. Sims, D. Magill, 1969 .

Optimal adaptive estimation: Structure and parameter adaption

D. Lainiotis, 1971 .

Probability of Error Bounds

D. Lainiotis, S. Park, 1971 .

System identification : advances and case studies

D. Lainiotis, R. Mehra, 1976 .

Unsupervised Learning Minimum Risk Pattern Classification for Dependent Hypotheses and Dependent Measurements

Demetrios G. Lainiotis, Charles G. Hilborn, C. G. Hilborn, 1969, IEEE Trans. Syst. Sci. Cybern..

A Unified Approach to Detection, Estimation, and System Identification.

D. Lainiotis, S. K. Park, 1972 .

On joint detection, estimation and system identification: discrete data case†

D. Lainiotis, S. Park, 1973 .

Optimal adaptive control of linear systems

Jayant G. Deshpande, D. Lainiotis, T. Upadhyay, 1971, CDC 1971.

Optimal adaptive control: A non-linear separation theorem†

Jayant G. Deshpande, D. Lainiotis, T. Upadhyay, 1972 .

Adaptive control of linear stochastic systems

Jayant G. Deshpande, D. Lainiotis, T. Upadhyay, 1973 .

Optimal non-linear estimation†

D. Lainiotis, 1971 .

Optimal linear smoothing : Continuous data case †

D. Lainiotis, 1973 .

Optimal nonlinear estimation

D. Lainiotis, 1971, CDC 1971.

Discrete Riccati equation solutions: Partitioned algorithms

Demetrios G. Lainiotis, D. Lainiotis, 1975 .

Optimal state-vector estimation for non-Gaussian initial state-vector

D. Lainiotis, S. Park, R. Krishnaiah, 1971 .

Partitioned estimation algorithms, II: Linear estimation

D. Lainiotis, 1974, CDC 1974.

Fast Riccati equation solutions: Partitioned algorithms☆

D. Lainiotis, 1975 .

Monte Carlo study of the optimal non-linear estimator: linear systems with non-gaussian initial states †

D. Lainiotis, S. Park, 1972 .

Passive target tracking with non Gaussian initial conditions

D. Lainiotis, P. Giannakopoulos, S. Katsikas, 1999, 1999 European Control Conference (ECC).

Comparative computational analysis of a new per-sample partitioning linear filter and the Kalman filter

D. G. Lainiotis, K. E. Anagnostou, D. Lainiotis, 1987 .

Partitioned Ricatti solutions and integration-free doubling algorithms

Demetrios G. Lainiotis, D. Lainiotis, 1976 .

Minimum mean square error approximation of unknown probability distribution functions

D. Lainiotis, L. Deuser, 1968 .

Optimal adaptive filter realizations for sample stochastic processes with an unknown parameter

D. G. Lainiotis, C. Hilborn, C. G. Hilborn, 1969 .

Performance measure for adaptive Kalman estimators

D. Lainiotis, D. Lainiotis, F. Sims, 1970 .

Adaptive Estimation of FCG Using Nonlinear State-Space Models

Demetrios G. Lainiotis, Sokratis K. Katsikas, Vassilios C. Moussas, 2005 .

A unifying framework for linear estimation: Generalized partitioned algorithms

Demetrios G. Lainiotis, D. Lainiotis, 1976, Inf. Sci..

Adaptive distributed partitioning filters: non-gaussian initial conditions

D. Lainiotis, P. Giannakopoulos, S. Katsikas, 1999 .

Nonsymmetric Riccati equations: Partitioned algorithms

D. Lainiotis, D. Andrisani, K. Govindaraj, 1978 .

Joint detection estimation of Gaussian signals in white Gaussian noise

D. Lainiotis, S. Park, 1970 .

Rate Distortion Over Band-Limited Feedback Channels

D. Lainiotis, 1970 .

Unsupervised learning, minimum risk pattern classification for dependent hypotheses and dependent measurements

D. Lainiotis, C. Hilborn, Charles G. Hilborn, 1968 .

Estimation: A brief survey

Demetrios G. Lainiotis, D. Lainiotis, 1974, Inf. Sci..

Parameter estimation using splines

Jayant G. Deshpande, Demetrios G. Lainiotis, D. Lainiotis, 1974, Inf. Sci..

Partitioning: The multi-model framework for estimation and control, I: Estimation

D. G. Lainiotis, D. Lainiotis, 1979 .

A unifying framework for discrete linear estimation Generalized partitioned algorithms

D. Lainiotis, K. Govindaraj, 1978 .

General backwards Markov models

Demetrios G. Lainiotis, D. Lainiotis, 1976 .

Partitioned linear estimation algorithms: Discrete case

Demetrios G. Lainiotis, D. Lainiotis, 1975 .

Partitioned estimation algorithms, II: Linear estimation

Demetrios G. Lainiotis, D. Lainiotis, 1974, Inf. Sci..

Partitioned estimation algorithms, I: Nonlinear estimation

Demetrios G. Lainiotis, D. Lainiotis, 1974, Inf. Sci..

Partitioned Riccati algorithms

D. Lainiotis, Demetrios Lainiotis, 1975, 1975 IEEE Conference on Decision and Control including the 14th Symposium on Adaptive Processes.

A class of upper bounds on probability of error for multihypotheses pattern recognition (Corresp.)

Demetrios G. Lainiotis, D. Lainiotis, 1969, IEEE Trans. Inf. Theory.

Optimal adaptive control of linear systems with unknown measurement subsystems

Jayant G. Deshpande, Demetrios G. Lainiotis, Triveni N. Upadhyay, 1973, Inf. Sci..

On the parallel implementations of the linear Kalman and Lainiotis filters and their efficiency

Demetrios G. Lainiotis, Spiridon D. Likothanassis, Sokratis K. Katsikas, 1991, Signal Process..

A survey of recursive algorithms for the solution of the discrete time Riccati Equation

Sokratis K. Katsikas, D. G. Lainiotis, Nicholas Assimakis, 1997 .

AR model identification with unknown process order

Demetrios G. Lainiotis, Spiridon D. Likothanassis, Sokratis K. Katsikas, 1990, IEEE Trans. Acoust. Speech Signal Process..

Some Improvements on the Synchronized-Overlap- Add Method of Time Scale Modification for Use in Real-Time Speech Compression and Noise Filtering

D. G. Lainiotis, L. Ljung, H. Cram, 1988 .

Adaptive dynamic neural network estimators

Konstantinos N. Plataniotis, D. G. Lainiotis, D. Lainiotis, 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

Optimal Estimation in the Presence of Unknown Parameters

C. Hilborn, D. Lainiotis, D. Lainiotis, 1969, IEEE Trans. Syst. Sci. Cybern..

Identification of Autoregressive Moving-Average Parameters of Time Series

D. G. Lainiotis, Y. Bar-Shalom, Y. Bar-Shalom, 1975 .

Recursive Solutions of the Discrete Time Riccati Equation

Demetrios G. Lainiotis, Nicholas D. Assimakis, S. Roulis, 2003, Neural Parallel Sci. Comput..

Efficient algorithms of clustering adaptive nonlinear filters

Demetrios G. Lainiotis, Paraskevas Papaparaskeva, D. Lainiotis, 1999, IEEE Trans. Autom. Control..

Joint Detection, Estimation and System Identification

Demetrios G. Lainiotis, D. Lainiotis, 1971, Inf. Control..

Simplified parameter quantization procedure for adaptive estimation

D. Lainiotis, D. Lainiotis, R. Sengbush, 1969 .

Digital matched filters for detecting Gaussian signals in Gaussian noise

Demetrios G. Lainiotis, Terry L. Henderson, D. Lainiotis, 1972, Inf. Sci..

Classification forDependentHypotheses and DependentMeasurements

Demetriosg . Lainiotis, D. Lainiotis, 1969 .

Optimal unsupervised learning multicategory dependent hypotheses pattern recognition

Demetrios G. Lainiotis, Charles G. Hilborn, D. Lainiotis, 1968, IEEE Trans. Inf. Theory.

Joint adaptive plant and measurement control of linear stochastic systems

T. Upadhyay, D. Lainiotis, D. Lainiotis, 1974 .

Application of state-variable techniques to optimal feature extraction - Multichannel analog data

TERRY L. HENDERSON, DEMETRIOS G. LAINIOTIS, D. Lainiotis, 1970, IEEE Trans. Inf. Theory.

A new time series classification approach

Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos, Dimitrios Androutsos, 1996, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Comments on linear feature extraction [Corresp.]

Demetrios G. Lainiotis, Terry L. Henderson, D. Lainiotis, 1969, IEEE Trans. Inf. Theory.

Joint estimation and identification of lidar log power returns in a switching environment.

D G Lainiotis, P Papaparaskeva, D. Lainiotis, 1996, Applied optics.

Adaptive filter applications to LIDAR: return power and log power estimation

Konstantinos N. Plataniotis, Demetrios G. Lainiotis, Paraskevas Papaparaskeva, 1996, IEEE Trans. Geosci. Remote. Sens..