Franciscus C A Groen

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The estimation of protein secondary structure from circular dichroism spectra is described by a multivariate linear model with noise (Gauss-Markoff model). With this formalism the adequacy of the linear model is investigated, paying special attention to the estimation of the error in the secondary structure estimates. It is shown that the linear model is(More)
| We present a method for accurate representation of high-dimensional unknown functions from random samples drawn from its input space. The method builds representations of the function by recursively splitting the input space in smaller subspaces, while in each of these subspaces a linear approximation is computed. The representations of the function at(More)
An ADS (Automatic Debiting System) is an electronic fee collection (EFC) system on a freeway, which interacts with a transponder in each car, and subtracts a fee from a credit card. Non-payers are to be photographed and ned. In requirements on such systems in The Netherlands, privacy laws demand separation between the nancial transaction and the(More)
Shadow detection is an important aspect of foreground/background classification. Many techniques exist, most of them assuming that only the intensity changes under shadow. In this paper we show that in most practical indoor and outdoor situations there will also be a color shift. We propose an algorithm for estimating this color shift from the images, and(More)
| This paper addresses the problem how the ego-centered internal representation of a robot is to be transformed upon robot movement if the robot's environment is represented in an occupancy grid. The transformation rules are derived and it is shown that for a single change in the robot's position , the parameters of this transformation can best be estimated(More)
An ADS (Automatic Debiting System) is a toll-collecting system on a freeway, which interacts with a transponder in each car, and subtracts a fee from a credit card. Non-payers are to be photographed and ned. In requirements on such systems in The Netherlands, privacy laws demand separation between the nancial transaction and the registration; the system(More)
In this paper we consider the conversion of sensor data to a probabilistic representation of the environment (occupancy grid). We introduce a neural network which learns these conversions. The conversion of sensor data remains adaptive to changes in either the sensor or its environment. To place this work in a broader context we describe the architecture of(More)