ICDAR
2011
IEEE
12 years 3 months ago
2011
IEEE
— In Handwritten Character Recognition, zoning is rigtly considered as one of the most effective feature extraction techniques. In the past, many zoning methods have been propose...
IJON
2011
12 years 7 months ago
2011
, Yunde Jia Model structure selection is currently an open problem in modeling data via Gaussian Mixture Models (GMM). This paper proposes a discriminative method to select GMM st...
NIPS
2001
13 years 5 months ago
2001
We present an algorithm that induces a class of models with thin junction trees--models that are characterized by an upper bound on the size of the maximal cliques of their triang...
FUZZY
2001
Springer
13 years 8 months ago
2001
Springer
Abstract. A handwritten digit recognition system was used in a demonstration project to visualize artificial neural networks, in particular Kohonen’s self-organizing feature map...
ICDAR
2003
IEEE
13 years 9 months ago
2003
IEEE
A class-modular generalized learning vector quantization (GLVQ) ensemble method with outlier learning for handwritten digit recognition is proposed. A GLVQ classifier is one of d...
DAGM
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. In this paper, we present a novel deformation-aware discriminative model for handwritten digit recognition. Unlike previous approaches our model directly considers image ...
ICPR
2002
IEEE
14 years 5 months ago
2002
IEEE
Although usually classifier error is the main concern in publications, in real applications classifier evaluation complexity may play a large role as well. In this paper, a simple...
ICPR
2008
IEEE
14 years 5 months ago
2008
IEEE
One of disadvantages of Hidden Markov Models (HMMs) is its low resistance to unexpected noises among observation sequences. Unexpected noises in a sequence usually "break&quo...
ICCV
2001
IEEE
14 years 6 months ago
2001
IEEE
By representing images and image prototypes by linear subspaces spanned by "tangent vectors" (derivatives of an image with respect to translation, rotation, etc.), impre...