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MIT SchMUSE: Class-Based Remote Delegation in a Capricious Distributed Environment
(1993-02-01)
MIT SchMUSE (pronounced "shmooz") is a concurrent, distributed, delegation-based object-oriented interactive environment with persistent storage. It is designed to run in a "capricious" network environment, where servers ...
Vectorizing Face Images by Interpreting Shape and Texture Computations
(1995-09-01)
The correspondence problem in computer vision is basically a matching task between two or more sets of features. In this paper, we introduce a vectorized image representation, which is a feature-based representation where ...
Template Matching: Matched Spatial Filters and Beyond
(1995-10-01)
Template matching by means of cross-correlation is common practice in pattern recognition. However, its sensitivity to deformations of the pattern and the broad and unsharp peaks it produces are significant drawbacks. This ...
Three Cuts for Accelerated Interval Propagation
(1995-05-01)
This paper addresses the problem of nonlinear multivariate root finding. In an earlier paper we described a system called Newton which finds roots of systems of nonlinear equations using refinements of interval methods. ...
Minimizing Statistical Bias with Queries
(1995-09-01)
I describe an exploration criterion that attempts to minimize the error of a learner by minimizing its estimated squared bias. I describe experiments with locally-weighted regression on two simple kinematics problems, ...
The Three-Dimensional Interpretation of a Class of Simple Line-Drawings
(1995-10-01)
We provide a theory of the three-dimensional interpretation of a class of line-drawings called p-images, which are interpreted by the human vision system as parallelepipeds ("boxes"). Despite their simplicity, p-images ...
A Computational Model for the Acquisition and Use of Phonological Knowledge
(1996-03-01)
Does knowledge of language consist of symbolic rules? How do children learn and use their linguistic knowledge? To elucidate these questions, we present a computational model that acquires phonological knowledge from a ...
Learning Fine Motion by Markov Mixtures of Experts
(1995-11-01)
Compliant control is a standard method for performing fine manipulation tasks, like grasping and assembly, but it requires estimation of the state of contact between the robot arm and the objects involved. Here we present ...
Computing Upper and Lower Bounds on Likelihoods in Intractable Networks
(1996-03-01)
We present techniques for computing upper and lower bounds on the likelihoods of partial instantiations of variables in sigmoid and noisy-OR networks. The bounds determine confidence intervals for the desired likelihoods ...
Mean Field Theory for Sigmoid Belief Networks
(1996-08-01)
We develop a mean field theory for sigmoid belief networks based on ideas from statistical mechanics. Our mean field theory provides a tractable approximation to the true probability distribution in these networks; it ...