Holistic Recognition of Online Handwritten Words Based on an Ensemble of SVM Classifiers

2014 ◽  
Author(s):  
A. Srimany ◽  
S. Dutta Chowdhuri ◽  
U. Bhattacharya ◽  
S.K. Parui
Keyword(s):  
Holistic Recognition

scholarly journals First-Generation College Students

2019 ◽  
Vol 20 (2) ◽  
Author(s):  
Elizabeth Buffy Stoll
Keyword(s):  
First Generation ◽  
First Generation College Students ◽  
College Campuses ◽  
First Generation Students ◽  
Post Secondary ◽  
Scholarly Article ◽  
First Generation College ◽  
Recommendations For Practice ◽  
Holistic Recognition ◽  
Home And School

First-generation students’ transitions are particularly important to their success in college. Though attention to and support for first-generation students on college campuses have increased in recent decades, these efforts remain campus-centric, encouraging first generation students to assimilate to the culture and values of post-secondary education. These efforts lack recognition of students’ ties to their homes and families. A holistic recognition of and support for first-generation students’ transitions and negotiations between the disparate worlds of home and school could further promote their success both inside and outside the classroom. This scholarly article asserts that practitioners and students will benefit from more purposefully recognizing the role that the world of home plays in first-generation students’ transitions and experiences. The author presents a review of the literature, a discussion of the importance of first-generation students’ connections to home, and recommendations for practice, specifically centered around first-generation student transitions.

A Hybrid Neuro-Symbolic Approach for Arabic Handwritten Word Recognition

2006 ◽  
Vol 10 (1) ◽  
pp. 17-25 ◽  
Author(s):  
Labiba Souici-Meslati ◽  
◽  
Mokhtar Sellami
Keyword(s):  
Neural Networks ◽  
Hierarchical Classification ◽  
Theoretical Knowledge ◽  
Knowledge Based ◽  
Training Stage ◽  
Handwritten Word Recognition ◽  
Symbolic Approach ◽  
Holistic Recognition ◽  
Handwritten Arabic

In this article, we suggest a system that automatically constructs knowledge based artificial neural networks (KBANN) for the holistic recognition of handwritten Arabic words in limited lexicons. To build a neuro-symbolic KBANN classifier for a given vocabulary, ideal samples of its words are first submitted to a structural feature extraction module. The analysis of the presence and possible occurrence numbers for these features in the considered lexicon enables to generate a symbolic knowledge base reflecting a hierarchical classification of the words. A rules-to-network translation algorithm uses this knowledge to build a multilayer neural network. It determines precisely its architecture and initializes its connections with specific values rather than random values, as is the case in classical neural networks. This construction approach provides the network with theoretical knowledge and reduces the training stage, which remains necessary because of styles and writing conditions variability. After this empirical training stage using real examples, the network acquires a final topology, which allows it to recognize new handwritten words. The proposed method has been tested on the automated construction of neuro-symbolic classifiers for two Arabic lexicons: literal amounts and city names. The application of this approach to the recognition of handwritten words or characters in different scripts and languages is also considered.

scholarly journals Queer, visible, present: the visibility of older LGB adults in long-term care environments

2017 ◽  
Vol 20 (3) ◽  
pp. 110-120 ◽  
Author(s):  
Paul Willis
Keyword(s):  
Social Inclusion ◽  
Long Term Care ◽  
Care Provision ◽  
Term Care ◽  
Content Type ◽  
Conceptual Discussion ◽  
And Bisexual ◽  
Holistic Recognition ◽  
Practical Implications

Purpose This paper is a conceptual discussion of the ways in which the diverse lives, identities and collective politics of lesbian, gay and bisexual (LGB) people can be made visible, and how they are made visible, in long-term care environments for older people. The purpose of this paper is to problematise strategies of visibility as methods for promoting social inclusion in care environments. Design/methodology/approach This is a conceptual discussion that draws on several social theorists that have previously discussed the politics of visibility, knowledge and sexuality. Findings Promoting increased visibility in itself does not fully grapple with the ways in which older LGB can be represented and known as particular kinds of sexual citizens. This potentially curtails a more holistic recognition of their needs, interests and wishes, inclusive of their sexual lives and histories. Making LGB lives visible in care environments may not always be a productive or affirmative strategy for dismantling homophobic views and beliefs. Practical implications The theoretical implications of a politics of visibility warrant a deeper consideration of strategies for promoting visibility. The paper concludes with a discussion of some of the practical implications for rethinking strategies of visibility in care environments. Originality/value Critical discussions about the application of visibility strategies, and the problematic assumptions contained within such strategies, are lacking in relation to mainstream housing and social care provision for older LGB people. This paper seeks to initiate this important discussion.

Recognition of Emotion from Inverted Schematic Drawings of Faces

2003 ◽  
Vol 96 (1) ◽  
pp. 236-244 ◽  
Author(s):  
Marte Fallshore ◽  
Jeanice Bartholow
Keyword(s):  
Facial Expressions ◽  
Social Relationships ◽  
Recognition Performance ◽  
Holistic Processing ◽  
Facial Emotion ◽  
Recognition Of Facial Expressions ◽  
Inverted Orientation ◽  
Facial Expressions Of Emotion ◽  
Holistic Recognition

The present study investigated whether facial expressions of emotion are recognized holistically, i.e., all at once as an entire unit, as faces are or featurally as other nonface stimuli. Evidence for holistic processing of faces comes from a reliable decrement in recognition performance when faces are presented inverted rather than upright. If emotion is recognized holistically, then recognition of facial expressions of emotion should be impaired by inversion. To test this, participants were shown schematic drawings of faces showing one of six emotions (surprise, sadness, anger, happiness, disgust, and fear) in either an upright or inverted orientation and were asked to indicate the emotion depicted. Participants were more accurate in the upright than in the inverted orientation, providing evidence in support of holistic recognition of facial emotion. Because recognition of facial expressions of emotion is important in social relationships, this research may have implications for treatment of some social disorders.

Analytic Versus Holistic Recognition of Chinese Words Among L2 Learners

2020 ◽  
Vol 104 (3) ◽  
pp. 567-580 ◽  
Author(s):  
NAN JIANG ◽  
FENGYUN HOU ◽  
XIN JIANG
Keyword(s):  
L2 Learners ◽  
Holistic Recognition

scholarly journals Eigenfaces Technique, an Improved Face Recognition Approach Using Neural Network

2019 ◽  
Vol 8 (2) ◽  
pp. 98-104
Author(s):  
Mohd Ashraf ◽  
Md. Zair Hussain
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Face Recognition ◽  
Graph Matching ◽  
Research Paper ◽  
Face Database ◽  
Input Face ◽  
The Face ◽  
Analysis Of Results ◽  
Holistic Recognition

Image analysis and understanding, stands tall amongst all the technologies and face recognition is an eminent part of it. A face database is maintained as a logbook to identify an input face. This is accomplished by mere comparison amongst the face database. There are several face recognition techniques, of which, symmetry, Elastic Bunch Graph Matching (EBGM), and analytic-to-holistic recognition have been explored in this research paper. Other peculiar approaches like image based face recognition techniques like MLP, convolutional neural network, eigenfaces, associative neural networks, recirculation neural network and independent component analysis have been thoroughly discussed. Two vibrant face recognition databases, UMIST and ORL have proved to be extremely important in analyzing the results of face recognition. Eigen Face value approach has been anticipated with the associated analysis of results of face recognition. Another approach in face recognition is optimized multiperceptron, which will be acting as the reference to the optimized eigenfaces approach in this research paper, hence making this study more efficient through comparison.

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