N. Porter
2002
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Whom N. Porter trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts N. Porter overall
Papers from N. Porter's perspective
Ordered by how strongly the researchers N. Porter trusts endorse each paper. Same corpus, a different order for every researcher.
- An Information-Maximization Approach to Blind Separation and Blind Deconvolution
- Spatial and temporal independent component analysis of functional MRI data containing a pair of task‐related waveforms (Human Brain Mapping)
- Adaptive Online Learning Algorithms for Blind Separation: Maximum Entropy and Minimum Mutual Information
- A Unifying Information-Theoretic Framework for Independent Component Analysis
- Neural Networks: A Comprehensive Foundation
- Removal of eye activity artifacts from visual event-related potentials in normal and clinical subjects. (Clinical Neurophysiology)
- Removing electroencephalographic artifacts by blind source separation. (Psychophysiology)
- Self-organizing neural network that discovers surfaces in random-dot stereograms
- A Simple Coding Procedure Enhances a Neuron's Information Capacity
- Learning by maximizing the information transfer through nonlinear noisy neurons and "noise breakdown