Discriminative dimensionality reduction for multi-dimensional sequences
Since the observables at particular time instants in a temporal sequence exhibit
dependencies, they are not independent samples. Thus, it is not plausible to apply iid …
dependencies, they are not independent samples. Thus, it is not plausible to apply iid …
Recognizing handwritten Arabic words using grapheme segmentation and recurrent neural networks
The Arabic alphabet is used in around 27 languages, including Arabic, Persian, Kurdish,
Urdu, and Jawi. Many researchers have developed systems for recognizing cursive …
Urdu, and Jawi. Many researchers have developed systems for recognizing cursive …
Linear sequence discriminant analysis: a model-based dimensionality reduction method for vector sequences
B Su, X Ding - … of the IEEE International Conference on …, 2013 - openaccess.thecvf.com
Dimensionality reduction for vectors in sequences is challenging since labels are attached
to sequences as a whole. This paper presents a model-based dimensionality reduction …
to sequences as a whole. This paper presents a model-based dimensionality reduction …
A novel baseline-independent feature set for arabic handwriting recognition
B Su, X Ding, L Peng, C Liu - 2013 12th International …, 2013 - ieeexplore.ieee.org
HMM-based analytical methods have been widely used for Arabic handwriting recognition.
A key factor influencing the performance of HMM-based systems is the features extracted …
A key factor influencing the performance of HMM-based systems is the features extracted …
Discriminative transformation for multi-dimensional temporal sequences
Feature space transformation techniques have been widely studied for dimensionality
reduction in vector-based feature space. However, these techniques are inapplicable to …
reduction in vector-based feature space. However, these techniques are inapplicable to …
[PDF][PDF] Arabic OCR using a novel hybrid classification scheme
Abstract Hidden Markov Models or HMMs, are a relatively recent phenomenon for Arabic
handwriting recognition. They are robust and efficient in classification. In this paper, an effort …
handwriting recognition. They are robust and efficient in classification. In this paper, an effort …
A word matching algorithm in handwritten Arabic recognition using multiple-sequence weighted edit distances
GA Abandah, FT Jamour - International Journal of Computer …, 2014 - search.proquest.com
This paper describes the word matching algorithm used in the JU-OCR2 optical character
recognition system of handwritten Arabic words. This system achieves a state-of-the-art …
recognition system of handwritten Arabic words. This system achieves a state-of-the-art …
Study of influence of diffuser meridian channel shape on performance of micro-gas turbine centrifugal compressor
Y Yang, R Xie, L Gong, Y Hai - 2011 Asia-Pacific Power and …, 2011 - ieeexplore.ieee.org
Three-dimensional viscous flow numerical simulation was conducted to study influence of
diffuser meridional-section shape with different width ratio on micro-gas turbine centrifugal …
diffuser meridional-section shape with different width ratio on micro-gas turbine centrifugal …
The UPV handwriting recognition and translation system for OpenHaRT 2013
The NIST Open Handwriting Recognition and Translation Evaluation 2013 (NIST
OpenHaRT'13) is a performance evaluation assessing technologies that transcribe and …
OpenHaRT'13) is a performance evaluation assessing technologies that transcribe and …
Recognition of Printed Arabic-English Text
MHN Yahia - 2018 - search.proquest.com
Based on its content, an image document in Optical Character Recognition (OCR) field can
be either monolingual image document or multilingual image document. Typically, OCR …
be either monolingual image document or multilingual image document. Typically, OCR …