NDLI: Vertically-integrated photonic multichip module architecture for vision applications

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2015 International Joint Conference on Neural Networks (IJCNN)

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2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)

Volume 4 - 2004

Volume 3 - 2004

2004 International Joint Conference on Neural Networks

2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)

Table of contents

Implantable biomimetic microelectronics for the replacement of hippocampal memory function lost due to damage or disease

Reinforcement learning in the real world

Localized neural network based distributional learning for knowledge discovery in protein databases

Gene trajectory clustering with a hybrid genetic algorithm and expectation maximization method

A feature/spl I.bar/core and SVM-based algorithm for identification of bioprocess-specific genome features

Unsupervised gene selection via spectral biclustering

Combing genetic algorithm with neural network technique for protein inter-residue spatial distance prediction

Protein fold class prediction using neural networks with tailored early-stopping

Recurrently connected silicon neurons with active dendrites for one-shot learning

Analog auditory perception model for robust speech recognition

A new VLSI model of neural microcircuits including spike time dependent plasticity

Mixed analog/digital chaotic neuro-computer prototype: 400-neuron dynamical associative memory

On-chip contrastive divergence learning in analogue VLSI

A new mixed-signal feed-forward neural network with on-chip learning

A comparison of CNN and LEGION networks

A CNN model of multi-dimensional stimulus selectivity in primary visual cortex

Implantable probe systems for cortical neuroprostheses

Vertically-integrated photonic multichip module architecture for vision applications

Biologically inspired enhanced vision system (EVS) for aircraft landing guidance

A collision avoidance model based on the Lobula giant movement detector (LGMD) neuron of the locust

Topographic and non-topographic neural network based computational platform for UAV applications

Robust control system design by use of neural networks and its application to UAV flight control

Context-based tracking of object features

Intelligent landing control based on neural-fuzzy-GA hybrid system

Theory of functional systems, adaptive critics and neural networks

Hybrid model for multiagent reinforcement learning

A hybrid dynamical system with robust switching control by action dependent heuristic dynamic programming

Learning with binary-valued utility using derivative adaptive critic methods

A reinforcement learning algorithm to improve scheduling search heuristics with the SVM

A solving method for MDPs by minimizing variational free energy

Neural network stabilizing control of single machine power system with control limits

Adaptive critic network for prey-predator systems

Robust feedback error learning method for controller design of nonlinear systems

Recurrent neural control for rollover prevention on heavy vehicles

Real-time control of variable air volume system based on a robust neural network assisted PI controller

An adaptive learning control approach based on constructive function approximation

Tool wear monitoring using radial basis function neural network

Content-based image retrieval of Web surface defects with PicSOM

Fault detection and isolation based on hybrid modelling in an AC motor

On the approach to synthesis of forecasting Markov networks

Constructing a neural system for surface inspection

Fault diagnosis of pneumatic actuator using adaptive network-based fuzzy inference system models and a learning vector quantization neural network

Recursive PCA and the structure of time series

On the role of long-range dependencies in learning protein secondary structure

A mutual information kernel for sequences

Recursive neural networks for object detection

Fisher kernel for tree structured data

A supervised self-organizing map for structures

Computer aided diagnosis of CT focal liver lesions by an ensemble of neural network and statistical classifiers

Prediction of EMG signals of trunk muscles in manual lifting using a neural network model

Optimized classification of multiclass problems applied to EMG-control of hand prostheses

Clustering of dependent components: a new paradigm for fMRI signal detection

Mammographic mass detection by vicinal support vector machine

Kernel-PCA denoising of artifact-free protein NMR spectra

Fault-tolerant PLA-style circuit design for failure-prone nanometer CMOS and quantum device technologies

Emergence of computational chaos in asynchronous neurocomputing

Architectural requirements for threshold logic gates based on resonant tunneling devices

Reconfigurable subthreshold CMOS perceptron

CHIMERA: creating a new generation chip by brain guidance

A charge recycling differential noise immune perceptron

A new momentum minimization decomposition method for support vector machines

Learning probabilistic kernel feature subspace with side-information for classification

Least squares support vector machine ensemble

Robust outlier detection using SVM regression

Unsupervised clustering and the capacity of support vector machines

SVM-based blind beamforming of constant modulus signals

Model selection of SVMs using GA approach

Feature subset selection for support vector machines by incremental regularized risk minimization

Multi-class SVM with negative data selection for Web page classification

Kernel principal component analysis and support vector machines for stock price prediction

Model selection in top quark tagging with a support vector classifier

MaxMinOver: a simple incremental learning procedure for support vector classification

Denoising using local ICA and kernel-PCA

Intelligent machine fault detection using SOM based RBF neural networks

An evolutionary clustering technique with local search to design RBF neural network classifiers

A nonlinear time-varying channel equalizer using self-organizing wavelet neural networks

WDN-RBF: weighted data normalization for radial basic function type neural networks

An approach employing signal sparse representation in wavelet domain for underdetermined blind source separation

Peak stick RBF network for online system identification

Frequency domain analysis based RBF networks and their applications to function approximations

Training multilayer perceptron and radial basis function neural networks for wavefront sensing and restoration of turbulence-degraded imagery

Improving novelty detection in short time series through RBF-DDA parameter adjustment

ICA photographic encoding gear: image bases towards IPEG

An ICA design of intraday stock prediction models with automatic variable selection

An on-line ICA-mixture-model-based fuzzy neural network

Semi-invariant function of Jacobi algorithm in independent component analysis

Non-linear principal components: projection and reconstruction

Real-time PCA (principal component analysis) implementation on DSP

Practical method for blind inversion of Wiener systems

Approximating nonlinear transformations of probability distributions for nonlinear independent component analysis

Estimation of propagation delays using orientation histograms for anechoic blind source separation

Bayesian versus constrained structure approaches for source separation in post-nonlinear mixtures

Blind source separation using time-delayed signals

Committee of spherical probabilistic principal surfaces

Postnonlinear blind source separation via linearization identification

Initialization of directions in projection pursuit learning

Sparse representation from a winner-take-all neural network

Information criteria for reduced rank canonical correlation analysis

Exponential chaotic tabu search hardware for quadratic assignment problems using switched-current chaotic neuron IC

Chaotic neuro-computer prototype for quadratic assignment problems

The implementation of neural networks for the optimization of the production scheduling

Computational promise of simultaneous recurrent network with a stochastic search mechanism

An optimization neural network model with lossy dynamics and time-varying activation functions

Non-feasible gradient projection recurrent neural network for equality constrained optimization

An algorithm for finding reliably schedulable plans

Global optimisation methods for choosing the connectivity pattern of N-tuple classifiers

Analog neural networks as asymptotically exact dynamic solvers

An effective approach to nonlinear Hammerstein model identification using evolutionary neural network

Application of fuzzy classification by evolutionary neural network in incipient fault detection of power transformer

On the hybrid of genetic algorithm and particle swarm optimization for evolving recurrent neural network

Instinct-based PSO with local search applied to satisfiability

Generational versus steady-state evolution for optimizing neural network learning

A neural-genetic algorithm for feature selection and breast abnormality classification in digital mammography

Choosing a starting configuration for particle swarm optimization

Design of B-spline neural networks using a bacterial programming approach

A combined genetic optimization and multilayer perceptron methodology for efficient digital fingerprint modeling and evaluation in secure communications

Traffic engineering in multi-service networks comparing genetic and simulated annealing optimization techniques

Neural networks with branch gates

Hierarchical Hopfield neural network in solving the puzzle problem

Hybrid inductive models: deterministic crowding employed

Integrating phrases to enhance HSOMART-based document clustering

Mahalanobis distance-based ARTMAP network

MS-TSKfnn: novel Takagi-Sugeno-Kang fuzzy neural network using ART like clustering

A data partitioning approach to speed up the fuzzy ARTMAP algorithm using the Hilbert space-filling curve

A comparative investigation of the RePART neural network in pattern recognition tasks

A hybrid n-tuple neuro-fuzzy classifier for handwritten numerals recognition

Improving the interpretability of Takagi-Sugeno fuzzy model by using linguistic modifiers and a multiple objective learning scheme

Fourier fuzzy neural network for clustering of visual objects based on their gross shape and its application to handwritten character recognition

The dynamic fuzzy method to tune the weight factors of neural fuzzy PID controller

A fuzzy inference neural network based method for short-term load forecasting

Dynamic bandwidth allocation using a two-stage fuzzy neural network based traffic predictor

Prior knowledge for fuzzy knowledge-based artificial neural networks from fuzzy set covering

Map building and localization on autonomous mobile robot using graph and fuzzy inference system

The challenge of using unsupervised learning algorithms for fuzzy cognitive maps

Determining in-situ stress profiles of hydrocarbon reservoirs from geophysical well logs using intelligent systems

Neural network fusion strategies for identifying breast masses

Analysis of features for efficient ECG signal classification using neuro-fuzzy network

Breast MRI data analysis by LLE

Classification of magnetic resonance spectra using parallel randomized feature selection

Nonlinear analysis and selection of relevant parameters in assessing the treatment results of reducing tremor, using DBS procedure

Characterization of the temporal pattern of cerebral blood flow oscillations

Classification of fetal heart rate during labour using hidden Markov models

An efficient sequential RBF network for bio-medical classification problems

Classification of medical data with a robust multi-level combination scheme

Neural network based light attenuation model for monitoring seagrass health

3D spatial analysis of fMRI data: a comparison of ICA and GLM analysis on a word perception task

Volume 2 - 2004

Volume 1 - 2004

Proceedings of the International Joint Conference on Neural Networks, 2003.

Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290)

IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222)

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium

IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339)

1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227)

Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94)

Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan)

[Proceedings 1992] IJCNN International Joint Conference on Neural Networks

[Proceedings] 1991 IEEE International Joint Conference on Neural Networks

IJCNN-91-Seattle International Joint Conference on Neural Networks

1990 IJCNN International Joint Conference on Neural Networks

International 1989 Joint Conference on Neural Networks

Vertically-integrated photonic multichip module architecture for vision applications

Content Provider	IEEE Xplore Digital Library
Author	Tanguay Jr., A.R. Jenkins, B.K. von der Malsburg, C. Mel, B. O'Brien, J. Biederman, I. Madhukar, A.
Copyright Year	2004
Abstract	Adaptive vision applications that involve rapid object identification and moving object tracking, such as in envisioned augmented reality applications, increasingly place stringent upper bounds on processing latency. In addition to the requirement for low latency, many emerging vision models and algorithms involves operations that are parallel in nature, nonlinear in functionality, and both local and non-local in structure. The resulting computational complexity places correspondingly complex demands on envisioned hardware implementations. In order to satisfy these conjoint requirements, a hybrid electronic/photonic multichip module architecture that comprises multiple layers of silicon VLSI detection and processing circuitry, coupled in the vertical dimension with dense photonic fan-out/fan-in interconnections has been investigated. The interconnections are implemented by means of 2D arrays of either multiple quantum well modulators or VCSEL that are flip-chip bonded on a pixel-by-pixel basis to the silicon VLSI detector/processor array.
File Size	73617
File Format	PDF
ISBN	0780383591
ISSN	10987576
DOI	10.1109/IJCNN.2004.1380869
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-07-25
Publisher Place	Hungary
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multichip modules Delay Silicon Very large scale integration Integrated circuit interconnections Sensor arrays Augmented reality Upper bound Computational complexity Hardware
Content Type	Text
Resource Type	Article

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