Wednesday, August 26, 2015

Interesting readings

[BianneBernard2011] - Bianne-Bernard, A.-L.; Menasri, F.; Mohamad, R.-H.; Mokbel, C.; Kermorvant, C. & Likforman-Sulem, L. Dynamic and Contextual Information in HMM Modeling for Handwritten Word Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33, 2066-2080.

[Biederman1987] - Biederman, I. Recognition-by-components: A theory of human image understanding Psychological Review, 1987, 94, 115-147.

[Boschetti2010] - Boschetti, F. A Corpus-based Approach to Philological Issues University of Trento, 2010.

[Chen1998] - Chen, F. R. & Bloomberg, D. S. Summarization of Imaged Documents without OCR Computer Vision and Image Understanding, 1998, 70, 307-320.

[Cheriet2013] - Cheriet, M.; Farrahi Moghaddam, R. & Hedjam, R. A learning framework for the optimization and automation of document binarization methods Computer Vision and Image Understanding, 2013, 117, 269-280.

[Doetsch2012] - Doetsch, P.; Hamdani, M.; Ney, H.; Gimenez, A.; Andres-Ferrer, J. & Juan, A. Comparison of Bernoulli and Gaussian HMMs Using a Vertical Repositioning Technique for Off-Line Handwriting Recognition, ICFHR'12, 2012, 3-7.

[Farrahi2011] - Farrahi Moghaddam, R. & Cheriet, M. Beyond pixels and regions: A non-local patch means (NLPM) method for content-level restoration, enhancement, and reconstruction of degraded document images, Pattern Recognition, 2011, 44, 363-374.

[Farrahi2012] - Farrahi Moghaddam, R. & Cheriet, M. Real-Time Knowledge-Based Processing of Images: Application of the Online NLPM Method to Perceptual Visual Analysis, IEEE Transactions on Image Processing, 2012, 21, 3390-3404.

[Farrahi2012a] - Farrahi Moghaddam, R.; Farrahi Moghaddam, F. & Cheriet, M. A new framework based on signature patches, micro registration, and sparse representation for optical text recognition, ISSPA'12, 2012, 1259-1265.

[Farrahi2015] - Farrahi Moghaddam, R. & Cheriet, M. Modified Hausdorff Fractal Dimension (MHFD), 2015, [arXiv preprint http://arxiv.org/abs/1409.0876 arXiv:1409.0876, May 2015].

[Farrahi2015a] - Farrahi Moghaddam, R. & Cheriet, M. A Multiple-Expert Binarization Framework for Multispectral Images, ICDAR'15, 2015.

[Kanai1998] - Kanai, J. & Baird, H. S. Special Issue on Document Image Understanding and Retrieval Computer Vision and Image Understanding, 1998, 70, 285-286.

[Konya2012] - Konya, I. Adaptive Methods for Robust Document Image Understanding University of Bonn, 2012.

[Konya2014] - Konya, I. & Eickeler, S. Logical structure recognition for heterogeneous periodical collections DATeCH'14, 2014, 185-192.

[Lorang2015] - Lorang, E.; Soh, L.-K.; Datla, M. V. & Kulwicki, S. Developing an Image-Based Classifier for Detecting Poetic Content in Historic Newspaper Collections D-Lib Magazine, 2015, 21.
 
[RodriguezSerrano2010] - Rodríguez-Serrano, J. A.; Perronnin, F.; Sánchez, G. & Lladós, J. Unsupervised writer adaptation of whole-word HMMs with application to word-spotting, Pattern Recognition Letters, Award winning papers from ICPR'10, 2010, 31, 742-749.

[Romanello2013] - Romanello, M. & Pasin, M. Citations and annotations in classics: old problems and new perspectives DH-CASE'13, 2013, 1-8.

[Romanello2014] - Romanello, M. Mining Citations, Linking Texts ISAW Papers 7 (Current Practice in Linked Open Data for the Ancient World), ISAW, ISAW and NYU, 2014.
 
[Saund2003] - Saund, E.; Fleet, D.; Mahoney, J. & Lamer, D. Doermann, D. (Ed.) Rough and Degraded Document Interpretation by Perceptual Organization Proceedings $5^th$ Symposium on Document Image Understanding Technology (SDIUT), UMD, 2003.

[Skulimowski2014] - Skulimowski, M. On expanded citations i-KNOW'14, ACM, 2014, 1-4.

[Vila2013] - Vila, K.; Fernández, A.; Gómez, J. M.; Ferrández, A. & Díaz, J. Noise-tolerance feasibility for restricted-domain Information Retrieval systems Data & Knowledge Engineering, 2013, 86, 276-294.

[Vinciarelli2004] - Vinciarelli, A.; Bengio, S. & Bunke, H. Offline recognition of unconstrained handwritten texts using HMMs and statistical language models, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004, 26, 709-720.

[Yu2013] - Yu, L.; Schwier, J.; Craven, R.; Brooks, R. & Griffin, C. Inferring Statistically Significant Hidden Markov Models, IEEE Transactions on Knowledge and Data Engineering, 2013, 25, 1548-1558.

[Zhang2014]-Zhang, M.; Farrahi Moghaddam, R. & Cheriet, M. Degraded Document Images Enhancement and Reconstruction Based on Non-local Sparse Representation, RL'14 in ECML/PKDD'14, 2014.