Representing and recognizing objects with massive local image patches
type: Item
instance of: scholarly article
title: Representing and recognizing objects with massive local image patches
zbMATH Open document ID: 1225.68232
author: Liang Lin
author: Ping Luo
author: Xiaowu Chen
author: Kun Zeng
published in: Pattern Recognition
publication date: 2011-11-10T00:00:00Z
Mathematics Subject Classification ID: 68T10
Mathematics Subject Classification ID: 68U10
zbMATH DE Number: 5970294
zbMATH Keywords: object recognition
zbMATH Keywords: object detection
zbMATH Keywords: generative learning
describes a project that uses: SIFT
describes a project that uses: AdaBoost.MH
describes a project that uses: I2T
MaRDI profile type: Publication
full work available at URL: j.patcog.2011.06.011
OpenAlex ID: W1984797383
cites work: Q4459353
cites work: A decision-theoretic generalization of on-line learning and an application to boosting
cites work: Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors)
cites work: A stochastic graph grammar for compositional object representation and recognition
DOI: 10.1016/J.PATCOG.2011.06.011
description: scientific article; zbMATH DE number 5970294