1313 search results - page 214 / 263 » Dimensionality Reduction for Classification |
122
Voted
CORR
2010
Springer
15 years 2 months ago
2010
Springer
Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...
119
Voted
ACTAC
2006
15 years 2 months ago
2006
In this paper we introduce a statistical Named Entity recognizer (NER) system for the Hungarian language. We examined three methods for identifying and disambiguating proper nouns...
151
click to vote
PAMI
2008
15 years 2 months ago
2008
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...
119
click to vote
AUTOMATICA
2005
15 years 2 months ago
2005
This paper presents a new approach to shaping of the frequency response of the sensitivity function. In this approach, a desired frequency response is assumed to be specified at a...
124
click to vote
IPM
2007
15 years 2 months ago
2007
We propose a new method for using anaphoric information in Latent Semantic Analysis (lsa), and discuss its application to develop an lsa-based summarizer which achieves a signifi...