<--- Back to Details
First PageDocument Content
Artificial intelligence applications / Human–computer interaction / Automatic identification and data capture / Computational linguistics / Handwriting recognition / Cursive / Devanagari / Tablet computer / Speech recognition / Writing / Language / Penmanship
Date: 2014-07-22 01:09:06
Artificial intelligence applications
Human–computer interaction
Automatic identification and data capture
Computational linguistics
Handwriting recognition
Cursive
Devanagari
Tablet computer
Speech recognition
Writing
Language
Penmanship

CURRENT SCIENCE Volume 107 Number[removed]July 2014

Add to Reading List

Source URL: www.currentscience.ac.in

Download Document from Source Website

File Size: 139,90 KB

Share Document on Facebook

Similar Documents

Datasets of the Unsupervised and Transfer Learning Challenge Report prepared by Isabelle Guyon with information from the data donors listed below: Handwriting recognition (AVICENNA) -- Reza Farrahi Moghaddam, Mathias Ada

DocID: 1uG8B - View Document

Combining Neural Networks and Context-Driven Search for On-Line, Printed Handwriting Recognition in the Newton Larry S. Yaeger Apple Computer 5540 Bittersweet Rd.

DocID: 1umKt - View Document

11th International Conference on Frontiers in Handwriting Recognition ICFHRAugust 19th - 21st, 2008 *August 18th - Registration & Welcome Reception MAP

DocID: 1tWfT - View Document

Computing / Computer hardware / Software / Writing implements / Personal computing / Tablet computer / Digital pen / Notepad / Notebook / Data storage device / Handwriting recognition / Digital signature

Digitally capture & store everything you write with ink on ordinary paper. The DigiMemo is a stand-alone device with storage capability that digitally captures and stores everything you write or draw with ink on ordinar

DocID: 1rheG - View Document

Artificial neural networks / Artificial intelligence / Machine learning / Computational neuroscience / Academia / Deep learning / Long short-term memory / Recurrent neural network / Sepp Hochreiter / Vanishing gradient problem / Speech recognition / Handwriting recognition

Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems Tsung-Hsien Wen, Milica Gaˇsi´c, Nikola Mrkˇsi´c, Pei-Hao Su, David Vandyke and Steve Young Cambridge University Engineering

DocID: 1r7XO - View Document