5 search results - page 1 / 1 » Subspace Mapping of Noisy Text Documents |
AI
2011
Springer
12 years 8 months ago
2011
Springer
Abstract. Subspace mapping methods aim at projecting high-dimensional data into a subspace where a specific objective function is optimized. Such dimension reduction allows the re...
AND
2009
13 years 2 months ago
2009
In this paper, we propose a new comprehensive methodology in order to evaluate the performance of noisy historical document recognition techniques. We aim to evaluate not only the...
KDD
2001
ACM
14 years 5 months ago
2001
ACM
Random projections have recently emerged as a powerful method for dimensionality reduction. Theoretical results indicate that the method preserves distances quite nicely; however,...
PRICAI
2000
Springer
13 years 8 months ago
2000
Springer
Abstract. This paper reports our comparative evaluation of three machine learning methods on Chinese text categorization. Whereas a wide range of methods have been applied to Engli...
ICIP
2004
IEEE
14 years 6 months ago
2004
IEEE
We consider the problem of extracting clean images from noisy mixtures of images degraded by blur operators. This special case of source separation arises, for instance, when anal...