Pattern Recognition
Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Fundamentals of speech recognition
Fundamentals of speech recognition
Probabilistic Visual Learning for Object Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
GTM: the generative topographic mapping
Neural Computation
CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
Bayesian Approaches to Gaussian Mixture Modeling
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mixtures of probabilistic principal component analyzers
Neural Computation
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Bump hunting in high-dimensional data
Statistics and Computing
Modeling the manifolds of images of handwritten digits
IEEE Transactions on Neural Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast nonparametric clustering with Gaussian blurring mean-shift
ICML '06 Proceedings of the 23rd international conference on Machine learning
Gaussian Mean-Shift Is an EM Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean shift spectral clustering
Pattern Recognition
A decoupled approach to exemplar-based unsupervised learning
Proceedings of the 25th international conference on Machine learning
Mean shift: An information theoretic perspective
Pattern Recognition Letters
Recent Advances in Reinforcement Learning
Learning Actions through Imitation and Exploration: Towards Humanoid Robots That Learn from Humans
Creating Brain-Like Intelligence
Theoretical and Practical Aspects of Mutual Information Based Side Channel Analysis
ACNS '09 Proceedings of the 7th International Conference on Applied Cryptography and Network Security
Incremental Clustering Algorithm for Earth Science Data Mining
ICCS 2009 Proceedings of the 9th International Conference on Computational Science
Kernel bandwidth estimation for nonparametric modeling
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
On the number of modes of a Gaussian mixture
Scale Space'03 Proceedings of the 4th international conference on Scale space methods in computer vision
The geometry of the articulatory region that produces a speech sound
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Efficient particle filtering via sparse kernel density estimation
IEEE Transactions on Image Processing
Theoretical and practical aspects of mutual information-based side channel analysis
International Journal of Applied Cryptography
A bayesian approach to image-based visual hull reconstruction
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Fast PRISM: Branch and Bound Hough Transform for Object Class Detection
International Journal of Computer Vision
Pattern Recognition and Image Analysis
Extrapolation of the boundary of uni- and bimodality of a two-component Gaussian mixture
Pattern Recognition and Image Analysis
Exact equation of the boundary of unimodal and bimodal domains of a two-component Gaussian mixture
Pattern Recognition and Image Analysis
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Gradient-quadratic and fixed-point iteration algorithms and appropriate values for their control parameters are derived for finding all modes of a Gaussian mixture, a problem with applications in clustering and regression. The significance of the modes found is quantified locally by Hessian-based error bars and globally by the entropy as sparseness measure.