NN 2002 - PDF Preprint Papers

NN 2002 International Summer School on Neural Networks

Teaser Browsing | Click Here

Title Browsing | Click Here

Wall of Fame | Most Viewed NN-2002 Paper

click to vote

NN
2002
Springer

226views Neural Networks» more NN 2002»

Data visualisation and manifold mapping using the ViSOM

14 years 2 days ago

Download personalpages.manchester.ac.uk

The self-organising map (SOM) has been successfully employed as a nonparametric method for dimensionality reduction and data visualisation. However, for visualisation the SOM requ...

Hujun Yin

claim paper

Read More »

Disclaimer and Copyright Notice

Sciweavers respects the rights of all copyright holders and in this regard, authors are only allowed to share a link to their preprint paper on their own website. Every contribution is associated with a desciptive image. It is the sole responsibility of the authors to ensure that their posted image is not copyright infringing. This service is compliant with IEEE copyright.

Id	Views	Title	Status

1	226	Data visualisation and manifold mapping using the ViSOM	claim
2	224	Optimal design of regularization term and regularization parameter by subspace information criterion	claim
3	208	A spiking neuron model: applications and learning	claim
4	161	AANN: an alternative to GMM for pattern recognition	claim
5	144	Projective ART for clustering data sets in high dimensional spaces	claim
6	142	Applications of the self-organising map to reinforcement learning	claim
7	137	Acetylcholine in cortical inference	claim
8	136	Bayesian model search for mixture models based on optimizing variational bounds	claim
9	125	Generalized relevance learning vector quantization	claim
10	125	Neuromodulation of decision and response selection	claim
11	123	Neuromodulation and plasticity in an autonomous robot	claim
12	122	Cellular, synaptic and network effects of neuromodulation	claim
13	119	Category regions as new geometrical concepts in Fuzzy-ART and Fuzzy-ARTMAP	claim
14	115	A self-organising network that grows when required	claim
15	114	Learning the parts of objects by auto-association	claim
16	114	Synapses as dynamic memory buffers	claim
17	113	A dynamically coupled neural oscillator network for image segmentation	claim
18	113	Control of exploitation-exploration meta-parameter in reinforcement learning	claim
19	108	Dopamine: generalization and bonuses	claim
20	107	Equivariant nonstationary source separation	claim
21	105	The computational role of dopamine D1 receptors in working memory	claim
22	101	Metalearning and neuromodulation	claim
23	98	Self-organizing maps with recursive neighborhood adaptation	claim
24	98	Dopamine-dependent plasticity of corticostriatal synapses	claim
25	97	On the capabilities of neural networks using limited precision weights	claim
26	93	The V1-V2-V3 complex: quasiconformal dipole maps in primate striate and extra-striate cortex	claim
27	79	Opponent interactions between serotonin and dopamine	claim
28	78	Three creatures named 'forward model'	claim
29	74	Temporal dynamics of binocular disparity processing with corticogeniculate interactions	claim

Sciweavers

Explore & Download

Productivity Tools

Document Tools

Image Tools

Sciweavers