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Laura Ruiz |
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Title |
Methods about Pattern Recognition |
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2007 |
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CVC Technical Report #114 |
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CVC (UAB) |
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Admin @ si @ Rui2007 |
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834 |
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Author |
Zhong Jin; Zhen Lou; Jing-Yu Yang; Quan-sen Sun |
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Title |
Face Detection using Template Matching and Skin-color Information |
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2007 |
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Neurocomputing, 70(4–6): 794–800 |
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Admin @ si @ JLY2007 |
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878 |
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Author |
Jose Antonio Rodriguez; Florent Perronnin |
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Title |
Local Gradient Histogram Features for Word Spotting in Unconstrained Handwritten Documents |
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2008 |
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Graphics Recognition: Recent Advances and New Opportunities |
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5046 |
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188–198 |
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W. Liu, J. Llados, J.M. Ogier |
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Admin @ si @ RoP2008a |
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992 |
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Author |
X. Varona; Jordi Gonzalez; Ignasi Rius; Juan J. Villanueva |
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Title |
Importance of Detection for Video Surveillance Applications |
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2008 |
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Optical Engineering, vol. 47(8), 087201/1–9 |
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ISE @ ise @ VGR2008 |
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998 |
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Author |
Jordi Gonzalez; Thomas B. Moeslund |
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Title |
Tracking Humans for the Evaluation of their Motion in Image Sequences |
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2008 |
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First International Workshop, THEMIS |
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Leeds (UK) |
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978-84-935251-9-4 |
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THEMIS |
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ISE @ ise @ GMW2008 |
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1002 |
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Author |
Juan J. Villanueva |
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Title |
Visualization, Imaging, and Image Processing, |
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2008 |
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Proceedings of the Eight IASTED International Conference |
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Palma de Mallorca (Spain) |
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978-0-88986-759-8 |
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ISE @ ise @ Vil2008 |
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1003 |
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Author |
Paramveer S. Dhillon; Francisco Javier Orozco; Jordi Gonzalez |
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Title |
Real-Time Monocular Face Tracking Using and Active Camera |
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Report |
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2008 |
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CVC Technical Report # 119 |
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Bellaterra (Spain) |
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ISE @ ise @ DOG2008 |
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1006 |
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Author |
X. Varona; Antoni Jaume-i-Capo; Jordi Gonzalez; Francisco Jose Perales |
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Title |
Toward Natural Interaction through Visual Recognition of Body Gestures in Real-Time |
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2008 |
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Interacting with Computers, diu 10,1016/j.intcom.2008.10.001, available on line |
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ISE @ ise @ VJG2008 |
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1022 |
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Author |
Jose Antonio Rodriguez; Florent Perronnin |
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Title |
Handwritten word-spotting using hidden Markov models and universal vocabularies |
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Journal Article |
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Year |
2009 |
Publication |
Pattern Recognition |
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PR |
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42 |
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9 |
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2103-2116 |
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Keywords |
Word-spotting; Hidden Markov model; Score normalization; Universal vocabulary; Handwriting recognition |
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Abstract |
Handwritten word-spotting is traditionally viewed as an image matching task between one or multiple query word-images and a set of candidate word-images in a database. This is a typical instance of the query-by-example paradigm. In this article, we introduce a statistical framework for the word-spotting problem which employs hidden Markov models (HMMs) to model keywords and a Gaussian mixture model (GMM) for score normalization. We explore the use of two types of HMMs for the word modeling part: continuous HMMs (C-HMMs) and semi-continuous HMMs (SC-HMMs), i.e. HMMs with a shared set of Gaussians. We show on a challenging multi-writer corpus that the proposed statistical framework is always superior to a traditional matching system which uses dynamic time warping (DTW) for word-image distance computation. A very important finding is that the SC-HMM is superior when labeled training data is scarce—as low as one sample per keyword—thanks to the prior information which can be incorporated in the shared set of Gaussians. |
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Elsevier |
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0031-3203 |
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Admin @ si @ RoP2009 |
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1053 |
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Author |
Jose Antonio Rodriguez; Florent Perronnin |
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Title |
Local Gradient Histogram Features for Word Spotting in Unconstrained Handwritten Documents |
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Year |
2008 |
Publication |
International Conference on Frontiers in Handwriting Recognition |
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7–12 |
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Montreal (Canada) |
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ICFHR |
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Admin @ si @ RoP2008b |
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1066 |
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