A simplified case study shows how the PCRaster software can be used in the framework of environmental impact assessment. PCRaster comes with generic spatial functions that can be combined in a structured script. This script can be used to 1) define scenarios for human activities, 2) construct static or dynamic (i.e. temporal) spatial environmental models with these scenarios as input, and 3) to...

Detection and isolation of faults are important tasks for improving the reliability of process industries in order to enhance their products quality. This paper investigates the detection and isolation of faults using structured residuals. Actuator and sensor faults are considered. Residuals are generated using a bank of unknown input observers (UIO). Three-tank benchmark system was used as a p...

In this paper we introduce a novel approach for unsupervised classification of planning instances based on the recent formalism of planning programs. Our approach is inspired by structured prediction in machine learning, which aims at predicting structured information about a given input rather than a scalar value. In our case, each input is an unlabelled classical planning instance, and the as...

Many real-world applications are associated with structured data, where not only input but also output has interplay. However, typical classification and regression models often lack the ability of simultaneously exploring high-order interaction within input and that within output. In this paper, we present a deep learning model aiming to generate a powerful nonlinear functional mapping from st...

In this issue of Neuron, Makino and Malinow and Kleindienst et al. present evidence of a behaviorally induced form of synaptic plasticity that would encourage the development of fine-scale structured input patterns and the binding of features within single neurons.

In this paper, we propose a new framework for the dynamic construction of structured visual object/scene detectors for content-based retrieval. In the Visual Apprentice, a user defines visual object/scene models via a multiple-level definition hierarchy: a scene consists of objects, which consist of object-parts, which consist of perceptual-areas, which consist of regions. The user trains the s...

Inputs to many application and server programs contain rich and consistent structural information. The propagation of such input in program execution could serve as accurate and reliable signatures for detecting memory corruptions. In this paper, we propose a novel approach to detect memory corruptions at the binary level. The basic insight is that different parts of an input are usually proces...

In this paper, we employ a lifting method introduced by the authors in order to study the structured singular value applied to input/output operators of control systems. We moreover give a new criterion which guarantees that the structured singular value equals its upper bound de ned by D-scalings.