Boosted Landmarks of Contextual Descriptors and Forest-ECOC: A novel framework to detect and classify objects in cluttered scenes
- 1 October 2007
- journal article
- Published by Elsevier BV in Pattern Recognition Letters
- Vol. 28 (13), 1759-1768
- https://doi.org/10.1016/j.patrec.2007.05.007
Abstract
No abstract availableKeywords
This publication has 10 references indexed in Scilit:
- Discriminant ECOC: a heuristic method for application dependent design of error correcting output codesIeee Transactions On Pattern Analysis and Machine Intelligence, 2006
- Learning to detect objects in images via a sparse, part-based representationIeee Transactions On Pattern Analysis and Machine Intelligence, 2004
- Spatial pattern discovery by learning a probabilistic parametric model from multiple attributed relational graphsDiscrete Applied Mathematics, 2004
- Shape matching and object recognition using shape contextsIeee Transactions On Pattern Analysis and Machine Intelligence, 2002
- Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression DataJournal of the American Statistical Association, 2002
- Text filtering by boosting naive Bayes classifiersPublished by Association for Computing Machinery (ACM) ,2000
- Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors)The Annals of Statistics, 2000
- Transformation Invariance in Pattern Recognition — Tangent Distance and Tangent PropagationPublished by Springer Science and Business Media LLC ,1998
- Error-Correcting Output Coding Corrects Bias and VariancePublished by Elsevier BV ,1995
- Solving Multiclass Learning Problems via Error-Correcting Output CodesJournal of Artificial Intelligence Research, 1995