String representations and distances in deep Convolutional Neural Networks for image classification
Authors:
- Cécile BaratCBCécile Barat
- Christophe DucottetCDChristophe Ducottet
- 1 June 2016
- journal article
- Published by Elsevier in Pattern Recognition
- Vol. 54, 104-115
Abstract
No abstract availableKeywords
This publication has 28 references indexed in Scilit:
- ImageNet Large Scale Visual Recognition ChallengeInternational Journal of Computer Vision, 2015
- Return of the Devil in the Details: Delving Deep into Convolutional Nets2014
- Randomized Spatial Partition for Scene Recognition2012
- EDIT DISTANCE WITH COMBINATIONS AND SPLITS AND ITS APPLICATIONS IN OCR NAME MATCHINGInternational Journal of Foundations of Computer Science, 2009
- Video event classification using string kernelsMultimedia Tools and Applications, 2009
- A Novel Approach for Word Spotting Using Merge-Split Edit DistanceLecture Notes in Computer Science, 2009
- Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categoriesComputer Vision and Image Understanding, 2007
- A Class of Edit Kernels for SVMs to Predict Translation Initiation Sites in Eukaryotic mRNAsJournal of Computational Biology, 2005
- Comparing String Representations and Distances in a Natural Images Classification TaskLecture Notes in Computer Science, 2005
- Generalizing edit distance to incorporate domain information: Handwritten text recognition as a case studyPattern Recognition, 1996