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A Note on the Generalization Performance of Kernel Classifiers with Margin
(2000-05-01)
We present distribution independent bounds on the generalization misclassification performance of a family of kernel classifiers with margin. Support Vector Machine classifiers (SVM) stem out of this class of machines. The ...
Learning-Based Approach to Estimation of Morphable Model Parameters
(2000-09-01)
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 ...
Discrete analysis of localisation in three-dimensional solids
(Proceedings of the European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS'00)Proceedings of the European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS'00), 2000)
A procedure is illustrated for the determination of the normal direction of a discontinuity plane within a solid finite element. Using so-called embedded discontinuities, discrete constitutive models can be applied within ...
Feature Selection for Face Detection
(2000-09-01)
We present a new method to select features for a face detection system using Support Vector Machines (SVMs). In the first step we reduce the dimensionality of the input space by projecting the data into a subset of ...
Scale-up of oscillatory flow mixing
(University of Cambridge, 2000-02-15)
Oscillatory Flow Mixing is a recent development in mixing technology which has evolved
over the past decade. It has a number of similarities to other mixing technologies,
particularly pulsed and reciprocating plate ...
A Trainable System for Object Detection in Images and Video Sequences
(2000-05-01)
This thesis presents a general, trainable system for object detection in static images and video sequences. The core system finds a certain class of objects in static images of completely unconstrained, cluttered scenes ...
The Individual is Nothing, the Class Everything: Psychophysics and Modeling of Recognition in Obect Classes
(2000-05-01)
Most psychophysical studies of object recognition have focussed on the recognition and representation of individual objects subjects had previously explicitely been trained on. Correspondingly, modeling studies have often ...
Face Detection in Still Gray Images
(2000-05-01)
We present a trainable system for detecting frontal and near-frontal views of faces in still gray images using Support Vector Machines (SVMs). We first consider the problem of detecting the whole face pattern by a single ...
Computational Models of Object Recognition in Cortex: A Review
(2000-08-07)
Understanding how biological visual systems perform object recognition is one of the ultimate goals in computational neuroscience. Among the biological models of recognition the main distinctions are between feedforward ...
People Recognition in Image Sequences by Supervised Learning
(2000-06-01)
We describe a system that learns from examples to recognize people in images taken indoors. Images of people are represented by color-based and shape-based features. Recognition is carried out through combinations of Support ...