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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 ...
Embedded discontinuities for softening solids
(Proceedings of the 4th Asia-Pacific Conference on Computational Mechanics (APCOM '99)Proceedings of the 4th Asia-Pacific Conference on Computational Mechanics (APCOM '99), 1999-12-06)
Additional, discontinuous functions are added to the displacement field of standard finite elements in order to capture highly localised zones of intense straining. By embedding discontinuities within an element it is ...
Object Detection in Images by Components
(1999-08-11)
In this paper we present a component based person detection system that is capable of detecting frontal, rear and near side views of people, and partially occluded persons in cluttered scenes. The framework that is ...
A Note on Support Vector Machines Degeneracy
(1999-08-11)
When training Support Vector Machines (SVMs) over non-separable data sets, one sets the threshold $b$ using any dual cost coefficient that is strictly between the bounds of $0$ and $C$. We show that there exist SVM ...
Maximum Entropy Discrimination
(1999-12-01)
We present a general framework for discriminative estimation based on the maximum entropy principle and its extensions. All calculations involve distributions over structures and/or parameters rather than specific ...
A Trainable Object Detection System: Car Detection in Static Images
(1999-10-13)
This paper describes a general, trainable architecture for object detection that has previously been applied to face and peoplesdetection with a new application to car detection in static images. Our technique is a ...
Learning-Based Approach to Real Time Tracking and Analysis of Faces
(1999-09-23)
This paper describes a trainable system capable of tracking faces and facialsfeatures like eyes and nostrils and estimating basic mouth features such as sdegrees of openness and smile in real time. In developing this ...
An Accelerated Chow and Liu Algorithm: Fitting Tree Distributions to High Dimensional Sparse Data
(1999-01-01)
Chow and Liu introduced an algorithm for fitting a multivariate distribution with a tree (i.e. a density model that assumes that there are only pairwise dependencies between variables) and that the graph of these dependencies ...
Monitoring Activities from Multiple Video Streams: Establishing a Common Coordinate Frame
(1999-04-01)
Passive monitoring of large sites typically requires coordination between multiple cameras, which in turn requires methods for automatically relating events between distributed cameras. This paper tackles the problem of ...
Detecting Digital Forgeries Using Bispectral Analysis
(1999-12-01)
With the rapid increase in low-cost and sophisticated digital technology the need for techniques to authenticate digital material will become more urgent. In this paper we address the problem of authenticating digital ...