268 search results - page 20 / 54 » FIND - A unified framework for neural data analysis |
PAMI
2007
13 years 8 months ago
2007
—Over the past few decades, a large family of algorithms—supervised or unsupervised; stemming from statistics or geometry theory—has been designed to provide different soluti...
NIPS
2008
13 years 10 months ago
2008
Kernel Principal Component Analysis (KPCA) is a popular generalization of linear PCA that allows non-linear feature extraction. In KPCA, data in the input space is mapped to highe...
ESANN
2008
13 years 10 months ago
2008
Abstract. Nonlinear dimensionality reduction aims at providing lowdimensional representions of high-dimensional data sets. Many new methods have been proposed in the recent years, ...
PSB
2004
13 years 10 months ago
2004
ct The preferential conservation of transcription factor binding sites implies that non-coding sequence data from related species will prove a powerful asset to motif discovery. We...
ECIS
2001
13 years 10 months ago
2001
There are many data modelling languages used in today's information systems engineering environment. Some of the data modelling languages used have a degree of hype surroundi...