*Neural Info*
* ***Advances in Neural Information Processing Systems 3**

*Neural Info(3)*
* Grouping Contours by Iterated Pairing Network

*NeurComp( Vol No. )*
* ***Neural Computation**

*NeurComp(1)*
* Back-Propagation Applied to Handwritten Zip Code Recognition

* Optimization in Model Matching and Perceptual Organization

*NeurComp(10)*
* Modeling the Surround of MT Cells and Their Selectivity for Surface Orientation in Depth Specified by Motion

* Self-Organizing Neural-Network Architecture for Navigation Using Optic Flow, A

*NeurComp(11)*
* computational model for visual selection, A

*NeurComp(12)*
* New Support Vector Algorithms

*NeurComp(14)*
* Training products of experts by minimizing contrastive divergence

*NeurComp(16)*
* Greedy learning of multiple objects in images using robust statistics and factorial learning

*NeurComp(18)*
* Bayesian population coding of motor cortical activity using a Kalman filter

*NeurComp(2)*
* Generalized Deformable Models, Statistical Physics and Matching Problems

* Visual Perception of Three-Dimensional Motion

*NeurComp(3)*
* Constrained Nets for Graph matching and Other Quadratic Assignment Problems

* Efficient Training of Artificial Neural Networks for Autonomous Navigation

*NeurComp(5)*
* Models of Perceptual Learning in Vernier Hyperacuity

*NeurComp(6)*
* Hierarchical Mixture of experts and the EM Algorithm

*NeurComp(7)*
* Competitive Stochastic Neural Networks for Vector Quantization of Images

* Helmholtz Machine, The

* Image Recognition Neural-Network: IRNN

* Regularization Theory and Neural Networks Architectures

* Representation of Similarity in 3-Dimensional Object Discrimination

*NeurComp(8)*
* Learning with Preknowledge: Clustering with Point and Graph Matching Distance Measures

* Statistical Approach to Shape from Shading: Reconstruction of 3-Dimensional Face Surfaces from Single 2-Dimensional Images

* Theory of the Visual-Motion Coding in the Primary Visual-Cortex, A

*NeurComp(9)*
* Dynamic-Model of Visual Recognition Predicts Neural Response Properties in the Visual-Cortex

* Image Segmentation Based on Oscillatory Correlation

* Image Segmentation Based on Oscillatory Correlation

* Marr Theory of the Neocortex as a Self-Organizing Neural-Network

* Minimax Entropy Principles and Its Application to Texture Modeling

* Mobile Robot That Learns Its Place, A

* Optimal, Unsupervised Learning in Invariant Object Recognition

* Seemore: Combining Color, Shape, and Texture Histogramming in a Neurally Inspired Approach to Visual Object Recognition

* Shape quantization and recognition with randomized trees

* Similarity, Connectionism, and the Problem of Representation in Vision

10 for NeurComp(9)

*NeurCompApp( Vol No. )*
* ***Neural Computing and Applications**

*NeurCompApp(4)*
* Image Indexing Applied to Typewriter Font Identification

*NeurCompApp(6)*
* Deformation Invariant Visual Object Recognition: Experiments with a Self-Organizing Neural Architecture

* Empirical-Comparison of Neural Techniques for Edge Linking of Images, An

* Focus of Expansion Estimation by an Error Backpropagation Neural-Network

* Image Segmentation with the SolNN Unsupervised Logic Neural-Network

*NeurCompApp(7)*
* Noisy Fingerprints Classification with Directional FFT Based Features Using MLP

*NeurNet( Vol No. )*
* ***Neural Networks**

*NeurNet(10)*
* Local-Structure of Space-Variant Images, The

* Neuro Fuzzy Approach to Pattern-Recognition

*NeurNet(11)*
* Hybrid Neural Network Model in Handwritten Word Recognition, A

* Vision-Guided Navigation Using SHOSLIF

*NeurNet(12)*
* Organization of face and object recognition in modular neural network models

*NeurNet(14)*
* Enhanced LBG Algorithm, The

* S-TREE Self-Organizing Trees for Data Clustering and Online Vector Quantization

*NeurNet(19)*
* adaptive incremental LBG for vector quantization, An

*NeurNet(5)*
* Principal components, minor components, and linear neural networks

*NeurNet(6)*
* Recognition and Segmentation of Connected Characters with Selective Attention

*NeurNet(8)*
* 1995 Special Issue: Automatic Target Recognition - Introduction

* 3-Dimensional Target Recognition Via Sonar: A Neural-Network Model

* Adaptive Perceptual Pattern-Recognition by Self-Organizing Neural Networks: Context, Uncertainty, Multiplicity, and Scale

* Analog VLSI Neuromorphic Image Acquisition and Preprocessing Systems

* Application of Fuzzy Artmap and Art-Emap to Automatic Target Recognition Using Radar Range Profiles

* Artificial Convolution Neural-Network for Medical Image Pattern-Recognition

* Biologically Motivated Cross-Modality Sensory Fusion System for Automatic Target Recognition

* Bottom-Up Visual Image-Processing Probed with Weighted Hermite-Polynomials

* Classifier and Shift-Invariant Automatic Target Recognition Neural Networks

* Composition of Biosonar Images for Target Recognition by Echolocating Bats

* Cueing, Feature Discovery, and One-Class Learning for Synthetic-Aperture Radar Automatic Target Recognition

* Fast-Learning Viewnet Architectures for Recognizing 3-Dimensional Objects from Multiple 2-Dimensional Views

* Handwritten Numeral Recognition Using a Small Number of Fuzzy Rules with Optimized Defuzzification Parameters

* Integrating Neural Networks with Image Pyramids to Learn Target Context

* Mavis: A Special-Purpose Neural Computational System for ATR

* Multilayer Self-Organizing Feature Map for Range Image Segmentation, A

* Multisensor ATR and Identification of Friend or Foe Using MLANS

* Neural Networks for Automatic Target Recognition

* Neural Processing of Targets in Visible Multispectral IR and SAR Imagery

* Neural System for Automatic Target Learning and Recognition Applied to Bare and Camouflaged SAR Targets, A

* Neural-Network Dynamics For Path Planning And Obstacle Avoidance

* Neural-Network Model in Stereovision Matching, A

* Nonlinear Extension of the Mace Filter, A

* PRAM Nets for Detection of Small Targets in Sequences of Infrared Images

* Real-Time, Unsupervised Neural-Network for the Low-Level Control of a Mobile Robot in a Nonstationary Environment, A

* Signal-Processing for Target Recognition in Biosonar

* Sonar Recognition of Targets Embedded in Sediment

* Space-Variant Active Vision: Definition, Overview and Examples

* Studies on Object Recognition from Degraded Images Using Neural Networks

* Synthetic-Aperture Radar Processing by a Multiple Scale Neural System for Boundary and Surface Representation

* VARTAC: A Foveal Active Vision ATR System

31 for NeurNet(8)

*NeurNet(9)*
* Adaptive Neural-Network: Application to Character-Recognition on X-Ray-Films, An

* Convergence Properties of High-Order Boltzmann Machines

* Dynamic Linking Among Neural Oscillators Leads to Flexible Pattern-Recognition with Figure-Ground Separation

* Dynamic Linking Among Neural Oscillators Leads to Flexible Pattern-Recognition with Figure-Ground Separation

* Edge-Based Binocular Stereopsis Algorithm: A Matching Mechanism with Probabilistic Feedback

* Feature Vectors for Road Vehicle Scene Classification

* Feature-Based Classification of Aerospace Radar Targets Using Neural Networks

* Generalization of Shift-Invariant Neural Networks: Image-Processing of Corneal Endothelium

* net work of chaotic elements for information processing, A

* Network Model for the Optic Flow Computation of the MST Neurons, A

* Neural Network Adaptive Filter for the Removal of Impulse Noise in Digital Images, A

* Neural-Network Positioning and Classification of Handwritten Characters

* Radar Target Recognition Using a Radial Basis Function Neural-Network

* Using Spatiotemporal Correlations to Learn Invariant Object Recognition

* Wavelet Transforms and Neural Networks for Compression and Recognition

15 for NeurNet(9)

*NeuroComp(11)*
* Replicator Equations, Maximal Cliques, and Graph Isomorphism

*Neurocomputing(14)*
* modified self-organizing neural net for shape extraction, A

*Neurocomputing(51)*
* Viewpoint independent face recognition by competition of the viewpoint dependent classifiers

*Neurocomputing(64)*
* Adaptively weighted sub-pattern PCA for face recognition

*Neurocomputing(71)*
* Approximation to the Fisher-Rao metric for the focus of expansion

* View-independent face recognition with Mixture of Experts

*NeuroImage(23)*
* Cortical cartography using the discrete conformal approach of circle packings

*Neuroscience(25)*
* Do we know what the early visual system does?

Last update:21-Jun-21 14:32:42

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