Locality-sensitive hashing scheme based on p-stable distributions
SCG '04 Proceedings of the twentieth annual symposium on Computational geometry
An Improved Cluster Labeling Method for Support Vector Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift Is a Bound Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Sparse Texture Representation Using Local Affine Regions
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM SIGGRAPH 2005 Papers
Rapid Object Indexing Using Locality Sensitive Hashing and Joint 3D-Signature Space Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised color-texture segmentation based on soft criterion with adaptive mean-shift clustering
Pattern Recognition Letters
Mean shift based clustering of Hough domain for fast line segment detection
Pattern Recognition Letters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean shift spectral clustering
Pattern Recognition
A new graph cut-based multiple active contour algorithm without initial contours and seed points
Machine Vision and Applications
Unsupervised texture classification: Automatically discover and classify texture patterns
Image and Vision Computing
Bregman bubble clustering: A robust framework for mining dense clusters
ACM Transactions on Knowledge Discovery from Data (TKDD)
Automatic segmentation of unorganized noisy point clouds based on the Gaussian map
Computer-Aided Design
Gaze-Contingent 3D Control for Focused Energy Ablation in Robotic Assisted Surgery
MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
Recovery Rate of Clustering Algorithms
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
Synthetic data generation technique in Signer-independent sign language recognition
Pattern Recognition Letters
Color image segmentation using adaptive mean shift and statistical model-based methods
Computers & Mathematics with Applications
Fast curvilinear structure extraction and delineation using density estimation
Computer Vision and Image Understanding
Curvature-aware adaptive re-sampling for point-sampled geometry
Computer-Aided Design
Category detection using hierarchical mean shift
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Sketch2Photo: internet image montage
ACM SIGGRAPH Asia 2009 papers
Scale-rotation invariant pattern entropy for keypoint-based near-duplicate detection
IEEE Transactions on Image Processing
High-dimensional statistical measure for region-of-interest tracking
IEEE Transactions on Image Processing
Volume composition and evaluation using eye-tracking data
ACM Transactions on Applied Perception (TAP)
Adaptive pyramid mean shift for global real-time visual tracking
Image and Vision Computing
Ranking canonical views for tourist attractions
Multimedia Tools and Applications
Shape detection from line drawings with local neighborhood structure
Pattern Recognition
International Journal of Computer Vision
Video segmentation for markerless motion capture in unconstrained environments
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
Constructing vocabulary ensembles by different clustering algorithms for object categorization
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
A variant of adaptive mean shift-based clustering
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
Simplifying mixture models through function approximation
IEEE Transactions on Neural Networks
Role-based differentiation for insider detection algorithms
Proceedings of the 2010 ACM workshop on Insider threats
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
An experimental study of color-based segmentation algorithms based on the mean-shift concept
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Linear model hashing and batch RANSAC for rapid and accurate object recognition
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Texture regimes for entropy-based multiscale image analysis
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
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
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
Unsupervised texture-based image segmentation through pattern discovery
Computer Vision and Image Understanding
Data driven bandwidth for medoid shift algorithm
ICCSA'11 Proceedings of the 2011 international conference on Computational science and its applications - Volume Part II
Unsupervised discovery, modeling, and analysis of long term activities
ICVS'11 Proceedings of the 8th international conference on Computer vision systems
COCA filters: co-occurrence aware bloom filters
SPIRE'11 Proceedings of the 18th international conference on String processing and information retrieval
KDE Paring and a Faster Mean Shift Algorithm
SIAM Journal on Imaging Sciences
Mean shift segmentation method based on hybridized particle swarm optimization
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
Balanced exploration and exploitation model search for efficient epipolar geometry estimation
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Accelerated convergence using dynamic mean shift
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Region covariance: a fast descriptor for detection and classification
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Brain tissue MR-image segmentation via optimum-path forest clustering
Computer Vision and Image Understanding
Smooth skinning decomposition with rigid bones
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Volume composition using eye tracking data
EUROVIS'06 Proceedings of the Eighth Joint Eurographics / IEEE VGTC conference on Visualization
Generating time lines with virtual words for time-varying data visualization
Proceedings of the 5th International Symposium on Visual Information Communication and Interaction
Dynamics of a mean-shift-like algorithm and its applications on clustering
Information Processing Letters
k nearest neighbor using ensemble clustering
DaWaK'12 Proceedings of the 14th international conference on Data Warehousing and Knowledge Discovery
A novel approach for leveraging co-occurrence to improve the false positive error in signature files
Journal of Discrete Algorithms
LSH-based large scale chinese calligraphic character recognition
Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries
A scalable, non-parametric anomaly detection framework for Hadoop
Proceedings of the 2013 ACM Cloud and Autonomic Computing Conference
Multi-target tracking on confidence maps: An application to people tracking
Computer Vision and Image Understanding
Computer Vision and Image Understanding
Texture databases - A comprehensive survey
Pattern Recognition Letters
Visualization and analysis of 3D time-varying simulations with time lines
Journal of Visual Languages and Computing
An ensemble-clustering-based distance metric and its applications
International Journal of Business Intelligence and Data Mining
A Study of the Cosine Distance-Based Mean Shift for Telephone Speech Diarization
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)
Human Activity Recognition Using Gait Pattern
International Journal of Computer Vision and Image Processing
International Journal of Computer Vision
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Feature space analysis is the main module in many computer visiontasks. The most popular technique, k-means clustering, however, hastwo inherent limitations: the clusters are constrained to bespherically symmetric and their number has to be known a priori. Innonparametric clustering methods, like the one based on mean shift,these limitations are eliminated but the amount of computationbecomes prohibitively large as the dimension of the spaceincreases. We exploit a recently proposed approximation technique,locality-sensitive hashing (LSH), to reduce the computationalcomplexity of adaptive mean shift. In our implementation of LSH theoptimal parameters of the data structure are determined by a pilotlearning procedure, and the partitions are data driven. As anapplication, the performance of mode and k-means based textons arecompared in a texture classification study.