Ab8tnzctThis paper presents a vehicle for autonomous &-road navigation built in the framework of DAFWA’s PerceptOR program. Special emphask is given to the percep tion system. A set of three stereo camera pairs pravide calor and SD data in a wide fleld of view (-ter 100 d e gree) at high resolution (2160 by 480 pixel) and high frame rates (6 H5). Thin is made possible by integrating a powerful ...

In this paper we describe a metho.d. for estimating boundaries between percep~ually d1stmct regions in an image. The method 1S a two step procedure which first identifies image regions ~hich exhibit uniformity. Boundaries between umform regions are approximated by a complete cubic spline function and the linear recursive filter is used to estimate the values of the function at the knots. Bounda...

In t,his paper we compared color space models l,ased on hrunan color perception. For this purpose, we made t.wo experinlents to see how human suh-ject,s classify color pixels in color ima.ges. In the first. experiment, subject,^ classify color pixels without seeing the ima.ge. In the second experiment, the subjects segment the images int.0 regions considered t,o I' e of similar colors, seeing t...

1 Abstract During the last decade, researchers have applied neural networks to a multitude of diicult tasks which would normally require human intelligence. In particular, percep-trons are used to classify patterns into diierent classes. Recently, several researchers introduced a novel class of artiicial neural networks, called morphological neural networks. In this new theory, the rst step in ...

"In this article we analyze students' appropriation of a new textual genre: audio description. We start from the application didactic sequence in French as foreign language description script by means external regulations (models scripts and Spanish). This qualitative research focuses on study initial final products, i.e. texts produced students French, well questionnaire to determine their per...

While most eeorts in artiicial neural network (ANN) research have been put into the investigation of network types, network topologies, various types of neurons and training algorithms, work on training data sets (TDSs) for ANNs has been comparably small. There are some approximations for the size of ANN TDSs, but little is known about the quality of TDSs, i.e. selecting data sets from which th...

| Conventional speech recognition systems based on Multi Layer Percep-trons often use Time Delay Neural Networks (TDNN). TDNNs were rst used for speech recognition by Waibel et al., but long training times and large numbers of parameters that need careful adjustment make it hard to achieve good performance. In contrast, networks using Radial Basis Functions (RBF) can be constructed systematical...

This paper describes a proposal for enhanced visualization of a data-­‐mining model generated with Association Rule (AR) techniques by applying Self-­‐Organizing Maps (SOM). A representation of visual percep-­‐ tion model of AR based on a method called AVM-­‐DM (Augmented Visualiza-­‐ tion Models for Data Mining) is established, together with data and pat-­‐ terns, which support the visual expl...

We analyse on{line learning of a linearly separable rule with a simple percep-tron. Example inputs are taken from two overlapping clusters of data and the rule is deened through a teacher vector which is in general not aligned with the connection line of the cluster centers. We nd that the Hebb algorithm cannot learn the rule perfectly in general. Moreover the dependence of the generalization e...

To speed up the training process, many existing systems use parallel technology for online learning algorithms. However, most research mainly focus on stochastic gradient descent (SGD) instead of other algorithms. We propose a generic online parallel learning framework for large margin models, and also analyze our framework on popular large margin algorithms, including MIRA and Structured Perce...