Mittagsseminar (in cooperation with A. Steger, D. Steurer and B. Sudakov)

Date and Time: Thursday, August 22, 2013, 12:15 pm

Duration: 30 minutes

Location: OAT S15/S16/S17

Speaker: Christoph Schwirzer

Learning object classification fast

This talk is about the problem of learning object classification using a small training set. We examine the problem of recognizing handwritten characters. Using a simple neural network we achieve a classification rate of more than 87% on handwritten decimal digits after learning as few as 20 samples per digit only. Based on a similar model, we examine the classification of simple geometric figures. Starting with a long and unsupervised learning stage the similarity of objects is learned. A following short and supervised learning stage is shown to be enough to perfectly distinguish certain basic geometric figures like squares and diamonds.

Upcoming talks     |     All previous talks     |     Talks by speaker     |     Upcoming talks in iCal format (beta version!)

Previous talks by year:   2024  2023  2022  2021  2020  2019  2018  2017  2016  2015  2014  2013  2012  2011  2010  2009  2008  2007  2006  2005  2004  2003  2002  2001  2000  1999  1998  1997  1996  

Information for students and suggested topics for student talks

Automatic MiSe System Software Version 1.4803M   |   admin login