Algorithms for clustering data
Algorithms for clustering data
Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
A Transform for Multiscale Image Segmentation by Integrated Edge and Region Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Agnostic classification of Markovian sequences
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Feature Detection with Automatic Scale Selection
International Journal of Computer Vision
Finding salient regions in images: nonparametric clustering for image segmentation and grouping
Computer Vision and Image Understanding - Special issue on content-based access for image and video libraries
Clustering by Scale-Space Filtering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised Learning of Finite Mixture Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Information Fusion Framework for Robust Shape Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Improving Performance of Distribution Tracking through Background Mismatch
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonlinear diffusion filtering on extended neighborhood
Applied Numerical Mathematics
General C-Means Clustering Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Edge-Preserving Image Denoising and Estimation of Discontinuous Surfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised color-texture segmentation based on soft criterion with adaptive mean-shift clustering
Pattern Recognition Letters
Clustering in video data: Dealing with heterogeneous semantics of features
Pattern Recognition
Pattern Recognition
Statistical change detection for multi-dimensional data
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Posterior probability measure for image matching
Pattern Recognition
Sliding-Windows for Rapid Object Class Localization: A Parallel Technique
Proceedings of the 30th DAGM symposium on Pattern Recognition
A Performance Evaluation of Single and Multi-feature People Detection
Proceedings of the 30th DAGM symposium on Pattern Recognition
Artificial Intelligence in Medicine
Real time trajectory based hand gesture recognition
WSEAS Transactions on Information Science and Applications
Gravitational Fuzzy Clustering
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Detection and segmentation of moving objects in complex scenes
Computer Vision and Image Understanding
Target tracking and localization of binocular mobile robot using camshift and SIFT
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Image Filtering Driven by Level Curves
EMMCVPR '09 Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
On the effectiveness of multiscale mode filters in edge preserving image filtering
ICS'09 Proceedings of the 13th WSEAS international conference on Systems
IEEE Transactions on Signal Processing
High-dimensional statistical measure for region-of-interest tracking
IEEE Transactions on Image Processing
Bayesian Estimation of Kernel Bandwidth for Nonparametric Modelling
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
Kernel bandwidth estimation for nonparametric modeling
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A common viewpoint on broad kernel filtering and nonlinear diffusion
Scale Space'03 Proceedings of the 4th international conference on Scale space methods in computer vision
A multiple instance learning based framework for semantic image segmentation
Multimedia Tools and Applications
2D-3D-based on-board pedestrian detection system
Computer Vision and Image Understanding
Simplifying mixture models through function approximation
IEEE Transactions on Neural Networks
An improved interactive color image segmentation using region-based graph cuts
Machine Graphics & Vision International Journal
Multibandwidth kernel-based object tracking
Advances in Artificial Intelligence - Special issue on machine learning paradigms for modeling spatial and temporal information in multimedia data mining
Nonparametri information fusion for motion estimation
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Robust pulmonary nodule segmentation in CT: improving performance for juxtapleural cases
MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II
Analysis and optimization of the asynchronous modulated light detection pixel
Analog Integrated Circuits and Signal Processing
Locally Defined Principal Curves and Surfaces
The Journal of Machine Learning Research
Data driven bandwidth for medoid shift algorithm
ICCSA'11 Proceedings of the 2011 international conference on Computational science and its applications - Volume Part II
SpectralCAT: Categorical spectral clustering of numerical and nominal data
Pattern Recognition
Kernel based visual tracking with reasoning about adaptive distribution image
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part III
Trajectory extraction and density analysis of intersecting pedestrian flows from video recordings
PIA'11 Proceedings of the 2011 ISPRS conference on Photogrammetric image analysis
KDE Paring and a Faster Mean Shift Algorithm
SIAM Journal on Imaging Sciences
A fuzzy segmentation of salient region of interest in low depth of field image
MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
Robust click-point linking for longitudinal follow-up studies
Miar'06 Proceedings of the Third international conference on Medical Imaging and Augmented Reality
Combined color and texture segmentation based on fibonacci lattice sampling and mean shift
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
Multi-scale vessel boundary detection
CVBIA'05 Proceedings of the First international conference on Computer Vision for Biomedical Image Applications
Evolving mean shift with adaptive bandwidth: a fast and noise robust approach
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part I
Accelerated convergence using dynamic mean shift
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Human detection using oriented histograms of flow and appearance
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Color region tracking against brightness changes
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Improved kernel-based object tracking under occluded scenarios
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
Brain tissue MR-image segmentation via optimum-path forest clustering
Computer Vision and Image Understanding
Extracting the essence from sets of images
Computational Aesthetics'07 Proceedings of the Third Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
Short communication: Efficient estimation of the mode of continuous multivariate data
Computational Statistics & Data Analysis
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The analysis of a feature space that exhibits multiscale patterns often requires kernel estimation techniques with locally adaptive bandwidths, such as the variable-bandwidth mean shift. Proper selection of the kernel bandwidth is, however, a critical step for superior space analysis and partitioning. This paper presents a mean shift-based approach for local bandwidth selection in the multimodal, multivariate case. Our method is based on a fundamental property of normal distributions regarding the bias of the normalized density gradient. We demonstrate that, within the large sample approximation, the local covariance is estimated by the matrix that maximizes the magnitude of the normalized mean shift vector. Using this property, we develop a reliable algorithm which takes into account the stability of local bandwidth estimates across scales. The validity of our theoretical results is proven in various space partitioning experiments involving the variable-bandwidth mean shift.