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Bringing the Grandmother Back into the Picture: A Memory-Based View of Object Recognition
(1990-04-01)
We describe experiments with a versatile pictorial prototype based learning scheme for 3D object recognition. The GRBF scheme seems to be amenable to realization in biophysical hardware because the only kind of ...
Continuous Stochastic Cellular Automata that Have a Stationary Distribution and No Detailed Balance
(1990-12-01)
Marroquin and Ramirez (1990) have recently discovered a class of discrete stochastic cellular automata with Gibbsian invariant measures that have a non-reversible dynamic behavior. Practical applications include more ...
Extensions of a Theory of Networks for Approximation and Learning: Dimensionality Reduction and Clustering
(1990-04-01)
The theory developed in Poggio and Girosi (1989) shows the equivalence between regularization and a class of three-layer networks that we call regularization networks or Hyper Basis Functions. These networks are also ...
A Novel Approach to Graphics
(1992-02-01)
sWe show that we can optimally represent the set of 2D images producedsby the point features of a rigid 3D model as two lines in twoshigh-dimensional spaces. We then decribe a working recognition systemsin which we represent ...
A Unified Framework for Regularization Networks and Support Vector Machines
(1999-03-01)
Regularization Networks and Support Vector Machines are techniques for solving certain problems of learning from examples -- in particular the regression problem of approximating a multivariate function from sparse ...
Visual Speech Synthesis by Morphing Visemes
(1999-05-01)
We present MikeTalk, a text-to-audiovisual speech synthesizer which converts input text into an audiovisual speech stream. MikeTalk is built using visemes, which are a small set of images spanning a large range of mouth ...
A Nonparametric Approach to Pricing and Hedging Derivative Securities via Learning Networks
(1994-04-01)
We propose a nonparametric method for estimating derivative financial asset pricing formulae using learning networks. To demonstrate feasibility, we first simulate Black-Scholes option prices and show that learning ...
Sparse Representations of Multiple Signals
(1997-09-01)
We discuss the problem of finding sparse representations of a class of signals. We formalize the problem and prove it is NP-complete both in the case of a single signal and that of multiple ones. Next we develop a simple ...
Optical Flow From 1D Correlation: Application to a Simple Time-To-Crash Detector
(1993-10-01)
In the first part of this paper we show that a new technique exploiting 1D correlation of 2D or even 1D patches between successive frames may be sufficient to compute a satisfactory estimation of the optical flow field. ...
Towards an Example-Based Image Compression Architecture for Video-Conferencing
(1994-06-01)
This paper consists of two major parts. First, we present the outline of a simple approach to very-low bandwidth video-conferencing system relying on an example-based hierarchical image compression scheme. In particular, ...