David G. Lowe
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David G. Lowecomputer-science Degrees
Computer Science
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Computer Science
David G. Lowe's Degrees
- PhD Computer Science University of British Columbia
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(Suggest an Edit or Addition)David G. Lowe's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Radial Basis Functions, Multi-Variable Functional Interpolation and Adaptive Networks (1988) (3011)
- Multivariable Functional Interpolation and Adaptive Networks (1988) (2506)
- Adaptive radial basis function nonlinearities, and the problem of generalisation (1989) (186)
- The optimised internal representation of multilayer classifier networks performs nonlinear discriminant analysis (1990) (139)
- Feed-forward neural networks and topographic mappings for exploratory data analysis (1996) (103)
- Optimized Feature Extraction and the Bayes Decision in Feed-Forward Classifier Networks (1991) (102)
- Extracting multisource brain activity from a single electromagnetic channel (2003) (93)
- Time series prediction by adaptive networks: a dynamical systems perspective (1991) (68)
- NeuroScale: Novel Topographic Feature Extraction using RBF Networks (1996) (62)
- Shakespeare vs. fletcher: A stylometric analysis by radial basis functions (1995) (55)
- Shadow targets: A novel algorithm for topographic projections by radial basis functions (1997) (51)
- Exploiting prior knowledge in network optimization: an illustration from medical prognosis (1990) (50)
- Sparse support vector regression based on orthogonal forward selection for the generalised kernel model (2006) (45)
- Radial basis function networks (1998) (44)
- Point-Wise Confidence Interval Estimation by Neural Networks: A Comparative Study based on Automotive Engine Calibration (1999) (34)
- A Comparison of Nonlinear Optimisation Strategies for Feed-Forward Adaptive Layered Networks (1988) (33)
- Novel exploitation of neural network methods in financial markets (1994) (28)
- Novel 'topographic' nonlinear feature extraction using radial basis functions for concentration coding in the 'artificial nose' (1993) (26)
- A mixture density network approach to modelling and exploiting uncertainty in nonlinear control problems (2004) (24)
- On the use of nonlocal and nonpositive definite basis functions in radial basis function networks (1995) (21)
- A Generative Model for Separating Illumination and Reflectance from Images (2003) (21)
- Using dynamical embedding to isolate seizure components in the ictal EEG (2000) (20)
- Validation of neural networks in automotive engine calibration (1997) (20)
- A Hybrid Optimisation Strategy for Adaptive Feed-Forward Layered Networks (1988) (19)
- What have neural networks to offer statistical pattern processing? (1991) (19)
- A Bayesian Perspective on Stochastic Neurocontrol (2008) (17)
- Component analysis in financial time series (1999) (16)
- Distribution Modeling of Nonlinear Inverse Controllers Under a Bayesian Framework (2007) (16)
- Robust control of nonlinear stochastic systems by modelling conditional distributions of control signals (2003) (16)
- Multi-valued control problems and mixture density network (2003) (16)
- Practical methods of tracking of nonstationary time series applied to real-world data (1996) (15)
- Characterising complexity by the degrees of freedom in a radial basis function network (1998) (14)
- On the iterative inversion of RBF networks: a statistical interpretation (1991) (13)
- A Novel Approach to Modelling and Exploiting Uncertainty in Stochastic Control Systems (2002) (13)
- Can we learn anything from single-channel unaveraged MEG data? (2004) (13)
- ICA in electromagnetic brain signal analysis (2001) (12)
- Adaptive networks, dynamical systems, and the predictive analysis of time series speech analysis (1989) (11)
- Parsimonious least squares support vector regression using orthogonal forward selection with the generalised kernel model (2006) (10)
- Tracking of non-stationary time-series using resource allocating RBF networks (1996) (10)
- Improved robust control of nonlinear stochastic systems using uncertain models (2002) (10)
- Computational Methods and Tools for Decision Support in Biomedicine: An Overview of Algorithmic Challenges (2009) (10)
- Using independent component analysis & dynamical embedding to isolate seizure activity in the EEG (2000) (10)
- Expert visual classification and neural networks: can general solutions be found? (1994) (9)
- Modelling of nonstationary processes using radial basis function networks (1995) (9)
- Complexity modelling and stability characterisation for long term iterated time series prediction (1997) (8)
- Feature space embeddings for extracting structure from single channel wake EEG using RBF networks (1998) (8)
- Characterising complexity in a radial basis function network (1997) (8)
- EEG/ECG information fusion for epileptic event detection (2009) (7)
- Radial basis function networks and statistics (2000) (7)
- Isolating epileptiform discharges in the unaveraged eeg using independent component analysis (1999) (6)
- Radial basis function networks - revisited (2015) (6)
- A Bayesian approach to modeling the conditional density of the inverse controller (2004) (6)
- Information Fusion Applied to Selected Financial Problem Domains (2002) (5)
- Probabilistic NeuroScale for Uncertainty Visualisation (2009) (4)
- Iterative time series prediction and analysis by embedding and multiple time-scale decomposition networks (1997) (4)
- Schemes for Fusion of EEG and ECG Towards Temporal Lobe Epilepsy Diagnostics (2007) (4)
- Nonlinear Signal Processing for Noise Reduction of Unaveraged Single Channel MEG Data (2001) (4)
- EXTRACTING INFORMATION FROM MULTICHANNEL VERSUS SINGLE CHANNEL EEG DATA IN EPILEPSY ANALYSIS (2002) (4)
- ECG-Derived Respiration Using a Real-Time QRS Detector Based on Empirical Mode Decomposition (2018) (4)
- Decision support based on genomics: Integration of data-and knowledge-driven reasoning (2010) (4)
- An Approach to Dynamic Modelling and Topographic Feature Extraction of Wake EEG (1999) (4)
- Artefactual Structure from Least-Squares Multidimensional Scaling (2002) (4)
- Clustering epileptiform discharges with an adaptive subspace self-organizing feature map: a simulation study (2000) (3)
- Tracking complexity characteristics of the wake brain state (2001) (3)
- PMAC: probabilistic multimodality adaptive control (2018) (3)
- Isolating Seizure Activity in the EEG with Independent Component Analysis (2000) (3)
- Non-local radial basis functions for forecasting and density estimation (1994) (3)
- ICA-Derived Respiration Using an Adaptive R-Peak Detector (2018) (3)
- Topical Phrase Extraction from Clinical Reports by Incorporating both Local and Global Context (2017) (3)
- Extracting structure from Wake EEG using neural networks (1997) (3)
- On Networks, Optimised Feature Extraction and the Bayes Decision (1989) (3)
- Towards sea surface pollution detection from visible band images (2001) (2)
- A novel neural network technique for exploratory data analysis (1995) (2)
- An objective study into single vs multiple channel brain signal analysis using realistic ictal EEG (2003) (2)
- Incorporating Prior Probabilities and Misclassification Costs into Network Training: An Example from Medical Prognosis (1989) (2)
- A Sum Rule Satisfied by Optimised Feed-Forward Layered Networks (1989) (2)
- A Generative Probabilistic Oriented Wavelet Model for Texture Segmentation (2003) (2)
- Adaptive R-peak Detection Using Empirical Mode Decomposition (2018) (2)
- Comparison between conventional and stochastic pinning control (2011) (1)
- Solving for 3-D model parameters from the locations of image features (1992) (1)
- ‘Surprise’ Detection in Human Pattern-of-Life Behaviour (2018) (1)
- A Theorem Connecting Adaptive Feed-Forward Layered Networks and Nonlinear Discriminant Analysis (1987) (1)
- A dynamical systems approach for feature extraction and visualisation for magnetoencephalography (1999) (0)
- Connection strength from input Connection strength from hidden node i to hidden node j node j to output node k Discriminator (2005) (0)
- Extracting information from single channel electromagnetic brain signals (2001) (0)
- Stochastic Control Strategies and Adaptive Critic Methods (2008) (0)
- M Ult Ivar Ia Ble Functional Interpolation and Adaptive N Etworks (2006) (0)
- Magnetoencephalographic data analysis: Dynamical embedding followed by independent component analysis (2001) (0)
- Conditional Distribution Modeling for Estimating and Exploiting Uncertainty in Control Systems (2003) (0)
- To extract the independent components of the evoked potentials in the EEG using ICA (2006) (0)
- On the inerative inversion of RBF networks : A Statistical interpretation Second (1991) (0)
- A neural-network extension of the method of analogues for iterated time series prediction (1998) (0)
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