A maximum-likelihood interpretation for slow feature analysis.

A maximum-likelihood interpretation for slow feature analysis.

Item
http://www.wikidata.org/entity/Q38398647
Slow feature analysis with spiking neurons and its application to audio stimuli.A structured model of video reproduces primary visual cortical organisation.Sensory adaptation and short term plasticity as Bayesian correction for a changing brain.Statistically optimal perception and learning: from behavior to neural representationsSlowness and sparseness have diverging effects on complex cell learningGaussian-process factor analysis for low-dimensional single-trial analysis of neural population activityThe Deterministic Information Bottleneck.A theoretical basis for emergent pattern discrimination in neural systems through slow feature extraction.Extracting dynamic features with switching models for process data analytics and application in soft sensingProbabilistic slow feature analysis-based representation learning from massive process data for soft sensor modeling
P2860

A maximum-likelihood interpretation for slow feature analysis.

Item
http://www.wikidata.org/entity/Q38398647
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
@zh
2007年论文
@zh-cn
name
A maximum-likelihood interpretation for slow feature analysis.
@en
type
label
A maximum-likelihood interpretation for slow feature analysis.
@en
prefLabel
A maximum-likelihood interpretation for slow feature analysis.
@en
P1433
P1476
P2093
P2860
P304
P31
P356
P433
P478
P577
P5875
P698
P356
P1433
P1476
A maximum-likelihood interpretation for slow feature analysis.
@en
P2093
P2860
P304
P31
P356
10.1162/NECO.2007.19.4.1022
P433
P478
P577
P5875
P698