Amanote Research

Amanote Research

    RegisterSign In

Efficient Representation of Local Geometry for Large Scale Object Retrieval

doi 10.1109/cvprw.2009.5206529
Full Text
Open PDF
Abstract

Available in full text

Date

June 1, 2009

Authors
M. Perd'ochO. ChumJ. Matas
Publisher

IEEE


Related search

Fusing Local Image Descriptors for Large-Scale Image Retrieval

2007English

Efficient Algorithms for Large-Scale Local Triangle Counting

ACM Transactions on Knowledge Discovery from Data
Computer Science
2010English

Deep Binary Representation for Efficient Image Retrieval

Advances in Multimedia
Computer Science
2017English

Simple Representation and Approximate Search of Feature Vectors for Large-Scale Object Recognition

2007English

Local Multi-Coordinate System for Object Retrieval

IEICE Transactions on Information and Systems
Electronic EngineeringPattern RecognitionHardwareComputer VisionElectricalArchitectureArtificial IntelligenceSoftware
2016English

Lost in Quantization: Improving Particular Object Retrieval in Large Scale Image Databases

2008English

An Object-Oriented Representation for Efficient Reinforcement Learning

2008English

Learning Detectors From Large Datasets for Object Retrieval in Video Surveillance

2012English

Efficient Methods for Large-Scale Unconstrained Optimization

Large-Scale Nonlinear Optimization
2006English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy