64 search results - page 11 / 13 » Intrinsic Representation: Bootstrapping Symbols from Experie... |
MM
2004
ACM
14 years 27 days ago
2004
ACM
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
CN
2004
13 years 7 months ago
2004
: This paper is based on the discussion during a panel that took place at the 7th Workshop on Feature Interactions in Telecommunications and Software Systems in Ottawa, Canada, Jun...
MMM
2005
Springer
14 years 1 months ago
2005
Springer
The canonical face recognition algorithm Eigenface and Fisherface are both based on one dimensional vector representation. However, with the high feature dimensions and the small ...
NIPS
2000
13 years 8 months ago
2000
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
AAAI
2006
13 years 9 months ago
2006
Over the past few years, some embedding methods have been proposed for feature extraction and dimensionality reduction in various machine learning and pattern classification tasks...