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Slow and Smooth: A Bayesian Theory for the Combination of Local Motion Signals in Human Vision
(1998-02-01)
In order to estimate the motion of an object, the visual system needs to combine multiple local measurements, each of which carries some degree of ambiguity. We present a model of motion perception whereby measurements ...
Estimating Dependency Structure as a Hidden Variable
(1998-09-01)
This paper introduces a probability model, the mixture of trees that can account for sparse, dynamically changing dependence relationships. We present a family of efficient algorithms that use EM and the Minimum Spanning ...
From Regression to Classification in Support Vector Machines
(1998-11-01)
We study the relation between support vector machines (SVMs) for regression (SVMR) and SVM for classification (SVMC). We show that for a given SVMC solution there exists a SVMR solution which is equivalent for a certain ...
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 ...
Uncertainty Propagation in Model-Based Recognition
(1995-02-01)
Building robust recognition systems requires a careful understanding of the effects of error in sensed features. Error in these image features results in a region of uncertainty in the possible image location of each ...
Interaction and Intelligent Behavior
(1994-08-01)
We introduce basic behaviors as primitives for control and learning in situated, embodied agents interacting in complex domains. We propose methods for selecting, formally specifying, algorithmically implementing, ...
Geometric Aspects of Visual Object Recognition
(1992-05-01)
This thesis presents there important results in visual object recognition based on shape. (1) A new algorithm (RAST; Recognition by Adaptive Sudivisions of Tranformation space) is presented that has lower average-case ...
Exploiting the Parallelism Exposed by Partial Evaluation
(1994-05-01)
We describe the key role played by partial evaluation in the Supercomputing Toolkit, a parallel computing system for scientific applications that effectively exploits the vast amount of parallelism exposed by partial ...
Causes and Effects of Chaos
(1990-12-01)
Most of the recent literature on chaos and nonlinear dynamics is written either for popular science magazine readers or for advanced mathematicians. This paper gives a broad introduction to this interesting and rapidly ...
Feature Matching for Object Localization in the Presence of Uncertainty
(1990-05-01)
We consider the problem of matching model and sensory data features in the presence of geometric uncertainty, for the purpose of object localization and identification. The problem is to construct sets of model feature and ...