Amanote Research

Amanote Research

    RegisterSign In

Multiple Class Segmentation Using a Unified Framework Over Mean-Shift Patches

doi 10.1109/cvpr.2007.383229
Full Text
Open PDF
Abstract

Available in full text

Date

June 1, 2007

Authors
Lin YangPeter MeerDavid J. Foran
Publisher

IEEE


Related search

Histological Image Segmentation Using Fast Mean Shift Clustering Method

BioMedical Engineering Online
Nuclear MedicineRadiologyUltrasound TechnologyRadiologicalBiomaterialsImagingMedicineBiomedical Engineering
2015English

Segmentation and Clustering of 3D Forest Point Cloud Using Mean Shift Algorithms

2016English

Toward a Unified Probabilistic Framework for Object Recognition and Segmentation

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2005English

Integration of Multiple ECG Databases Into a Unified Framework

2005English

Mean Shift Segmentation Assessment for Individual Forest Tree Delineation From Airborne Lidar Data

Remote Sensing
EarthPlanetary Sciences
2019English

Superpixel Segmentation of Polarimetric Synthetic Aperture Radar (SAR) Images Based on Generalized Mean Shift

Remote Sensing
EarthPlanetary Sciences
2018English

Boosted Mean Shift Clustering

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2014English

A Unified Framework for Evaluation Metrics in Classification Using Decision Trees

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2001English

A Unified Framework for Trust Management

2006English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy