2632 search results - page 147 / 527 » Analysis of whole-book recognition |
SSPR
2004
Springer
14 years 1 months ago
2004
Springer
Kernel Methods are a class of algorithms for pattern analysis with a number of convenient features. They can deal in a uniform way with a multitude of data types and can be used to...
ISNN
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. Principal Component Analysis (PCA) is a feature extraction approach directly based on a whole vector pattern and acquires a set of projections that can realize the best r...
CIARP
2007
Springer
14 years 2 days ago
2007
Springer
Different researches suggest that inner facial features are not the only discriminative features for tasks such as person identification or gender classification. Indeed, they have...
ECML
2007
Springer
14 years 1 days ago
2007
Springer
Recently, a successful extension of Principal Component Analysis for structured input, such as sequences, trees, and graphs, has been proposed. This allows the embedding of discret...
DAS
2006
Springer
13 years 11 months ago
2006
Springer
This paper describes a Neural Network (NN) approach for logical document structure extraction. In this NN architecture, called Transparent Neural Network (TNN), the document struct...