1825 search results - page 101 / 365 » Local Dimensionality Reduction |
93
Voted
CIVR
2009
Springer
15 years 7 months ago
2009
Springer
Multimedia browsing and retrieval systems can use dimensionality reduction methods to map from high-dimensional content-based feature distributions to low-dimensional layout space...
118
Voted
COLING
2008
15 years 2 months ago
2008
In this paper, an extension of a dimensionality reduction algorithm called NONNEGATIVE MATRIX FACTORIZATION is presented that combines both `bag of words' data and syntactic ...
91
Voted
IJCAI
2007
15 years 2 months ago
2007
Dimensionality reduction is a much-studied task in machine learning in which high-dimensional data is mapped, possibly via a non-linear transformation, onto a low-dimensional mani...
124
Voted
NIPS
2004
15 years 2 months ago
2004
This paper investigates the effect of Kernel Principal Component Analysis (KPCA) within the classification framework, essentially the regularization properties of this dimensional...
99
Voted
CORR
2010
Springer
14 years 11 months ago
2010
Springer
This paper discusses the topic of dimensionality reduction for k-means clustering. We prove that any set of n points in d dimensions (rows in a matrix A ∈ Rn×d ) can be project...