288 search results - page 13 / 58 » A New Approach to Multi-class Linear Dimensionality Reductio... |
73
Voted
ICPR
2008
IEEE
15 years 6 months ago
2008
IEEE
The locally linear embedding (LLE) algorithm is considered as a powerful method for the problem of nonlinear dimensionality reduction. In this paper, first, a new method called cl...
ICDM
2007
IEEE
15 years 3 months ago
2007
IEEE
Recently the problem of dimensionality reduction (or, subspace learning) has received a lot of interests in many fields of information processing, including data mining, informati...
121
Voted
PKDD
2005
Springer
15 years 5 months ago
2005
Springer
Abstract. Problem solving with experiences that are recorded in text form requires a mapping from text to structured cases, so that case comparison can provide informed feedback fo...
98
Voted
CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
Dimensionality reduction is an important issue when facing high-dimensional data. For supervised dimensionality reduction, Linear Discriminant Analysis (LDA) is one of the most po...
101
Voted
COMPLIFE
2006
Springer
15 years 3 months ago
2006
Springer
We present a method for simultaneous dimension reduction and metastability analysis of high dimensional time series. The approach is based on the combination of hidden Markov model...