Can crowded letter recognition predict word recognition?
نویسندگان
چکیده
منابع مشابه
Mixture of Experts for Persian handwritten word recognition
This paper presents the results of Persian handwritten word recognition based on Mixture of Experts technique. In the basic form of ME the problem space is automatically divided into several subspaces for the experts, and the outputs of experts are combined by a gating network. In our proposed model, we used Mixture of Experts Multi Layered Perceptrons with Momentum term, in the classification ...
متن کاملHolistic Farsi handwritten word recognition using gradient features
In this paper we address the issue of recognizing Farsi handwritten words. Two types of gradient features are extracted from a sliding vertical stripe which sweeps across a word image. These are directional and intensity gradient features. The feature vector extracted from each stripe is then coded using the Self Organizing Map (SOM). In this method each word is modeled using the discrete Hidde...
متن کاملWhat can we learn from learning models about sensitivity to letter-order in visual word recognition?
Recent research on the effects of letter transposition in Indo-European Languages has shown that readers are surprisingly tolerant of these manipulations in a range of tasks. This evidence has motivated the development of new computational models of reading that regard flexibility in positional coding to be a core and universal principle of the reading process. Here we argue that such approach ...
متن کاملERP correlates of letter-case in visual word recognition
Barbara Leone-Fernandez Departamento de Metodología, Facultad de Psicología Av. Blasco Ibáñez, 21, Universitat de València, 46010, Spain [email protected] Manuel Perea Departamento de Metodología, Facultad de Psicología Av. Blasco Ibáñez, 21, Universitat de València, 46010, Spain [email protected] Marta Vergara-Martínez Departamento de Psicología Evolutiva, Facultad de Psicología Av. Blasco ...
متن کاملDoes letter rotation slow down orthographic processing in word recognition?
Leading neural models of visual word recognition assume that letter rotation slows down the conversion of the visual input to a stable orthographic representation (e.g., local detectors combination model; Dehaene, Cohen, Sigman, & Vinckier, 2005, Trends in Cognitive Sciences, 9, 335-341). If this premise is true, briefly presented rotated primes should be less effective at activating word repre...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Vision
سال: 2016
ISSN: 1534-7362
DOI: 10.1167/16.12.1113