34 search results - page 1 / 7 » Deep Self-Taught Learning for Handwritten Character Recognit... |
CORR
2010
Springer
12 years 11 months ago
2010
Springer
Recent theoretical and empirical work in statistical machine learning has demonstrated the importance of learning algorithms for deep architectures, i.e., function classes obtaine...
KES
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. This paper presents a handwritten Greek character recognizer. The recognizer is composed of two modules: the first one is a feature extractor, the second one, the classi...
ICDAR
2003
IEEE
13 years 10 months ago
2003
IEEE
A major feature of new mobiles terminals using penbased interfaces, such as personal assistants or e-book, is their personal character, implying that a good interface should be ea...
ICPR
2006
IEEE
14 years 5 months ago
2006
IEEE
In this paper we propose a novel scheme to combine offline and online features of handwritten strokes. The stateof-the-art methods in handwritten stroke recognition have used a pr...
MLDM
2001
Springer
13 years 9 months ago
2001
Springer
Abstract. This paper proposes a general local learning framework to effectively alleviate the complexities of classifier design by means of “divide and conquer” principle and ...