Search
Now showing items 181-190 of 275
Stable Mixing of Complete and Incomplete Information
(2001-11-08)
An increasing number of parameter estimation tasks involve the use of at least two information sources, one complete but limited, the other abundant but incomplete. Standard algorithms such as EM (or em) used in this context ...
Simplifying transformations for type-alpha certificates
(2001-11-13)
This paper presents an algorithm for simplifying NDL deductions. An array of simplifying transformations are rigorously defined. They are shown to be terminating, and to respect the formal semantis of the language. We also ...
Exploring Vision-Based Interfaces: How to Use Your Head in Dual Pointing Tasks
(2002-01-01)
The utility of vision-based face tracking for dual pointing tasks is evaluated. We first describe a 3-D face tracking technique based on real-time parametric motion-stereo, which is non-invasive, robust, and self-initialized. ...
Learning with Deictic Representation
(2002-04-10)
Most reinforcement learning methods operate on propositional representations of the world state. Such representations are often intractably large and generalize poorly. Using a deictic representation is believed to be ...
Shape-Time Photography
(2002-01-10)
We introduce a new method to describe, in a single image, changes in shape over time. We acquire both range and image information with a stationary stereo camera. From the pictures taken, we display a composite image ...
Keeping Secrets in Hardware: the Microsoft Xbox(TM) Case Study
(2002-05-26)
This paper discusses the hardware foundations of the cryptosystem employed by the Xbox(TM) video game console from Microsoft. A secret boot block overlay is buried within a system ASIC. This secret boot block decrypts and ...
Advanced Programming Language Features for Executable Design Patterns "Better Patterns Through Reflection
(2002-03-22)
The Design Patterns book [GOF95] presents 24 time-tested patterns that consistently appear in well-designed software systems. Each pattern is presented with a description of the design problem the pattern addresses, as ...
On the Dirichlet Prior and Bayesian Regularization
(2002-09-01)
A common objective in learning a model from data is to recover its network structure, while the model parameters are of minor interest. For example, we may wish to recover regulatory networks from high-throughput data ...
Properties and Applications of Shape Recipes
(2002-12-01)
In low-level vision, the representation of scene properties such as shape, albedo, etc., are very high dimensional as they have to describe complicated structures. The approach proposed here is to let the image itself ...
Recovering Intrinsic Images from a Single Image
(2002-09-01)
We present an algorithm that uses multiple cues to recover shading and reflectance intrinsic images from a single image. Using both color information and a classifier trained to recognize gray-scale patterns, each image ...