Active Goal Recognition Design

In Goal Recognition Design (GRD), the objective is to modify a domain to facilitate early detection of the goal of a subject agent. Most previous work studies this problem in the offline setting, in which the observing agent performs its interventions before the subject begins acting. In this thesis, we generalize GRD to the online setting in which time passes and the observer\u27s actions are interleaved with those of the subject. We illustrate weaknesses of existing metrics for GRD and propose an alternative better suited to online settings. We provide a formal definition of this Active GRD (AGRD) problem and propose both an optimal algorithm and a suboptimal algorithm for solving it. AGRD occupies an interesting middle ground between passive goal recognition and strategic two-player game settings

A focus on cross-purpose tools, automated recognition of study design in multiple disciplines, and evaluation of automation tools: a summary of significant discussions at the fourth meeting of the International Collaboration for Automation of Systematic Reviews (ICASR)

The fourth meeting of the International Collaboration for Automation of Systematic Reviews (ICASR) was held 5–6 November 2019 in The Hague, the Netherlands. ICASR is an interdisciplinary group whose goal is to maximize the use of technology for conducting rapid, accurate, and efficient systematic reviews of scientific evidence. The group seeks to facilitate the development and acceptance of automated techniques for systematic reviews. In 2018, the major themes discussed were the transferability of automation tools (i.e., tools developed for other purposes that might be used by systematic reviewers), the automated recognition of study design in multiple disciplines and applications, and approaches for the evaluation of automation tools

A False Acceptance Error Controlling Method for Hyperspherical Classifiers

Controlling false acceptance errors is of critical importance in many pattern recognition applications, including signature and speaker verification problems. Toward this goal, this paper presents two post-processing methods to improve the performance of hyperspherical classifiers in rejecting patterns from unknown classes. The first method uses a self-organizational approach to design minimum radius hyperspheres, reducing the redundancy of the class region defined by the hyperspherical classifiers. The second method removes additional redundant class regions from the hyperspheres by using a clustering technique to generate a number of smaller hyperspheres. Simulation and experimental results demonstrate that by removing redundant regions these two post-processing methods can reduce the false acceptance error without significantly increasing the false rejection error

Design of QMF (Quadrature Mirror Filter) in spatial domain and edge encoding

Simoncelli and Adelson have extended the one dimensional Quadrature Mirror Filter (QMF) to two dimensions with hexagon symmetry and three dimensional spatio-temporal extensions with rhombic-duodecahedray symmetry. Jain and Crochiere presented an excellent QMF design technique in the time domain. It is proposed to extend the design of a two dimensional QMF over a rectangular lattice in the spatial domain based primarily on the extension of the idea of Jain and Crochiere. In addition, the design will investigate the use of two dimensional Z-transformations. Since this proposed QMF is intended for the applications in image processing, all the important and interesting engineering issues will be addressed throughout the development phase. The design of a two dimensional QMF is discussed. The motivation is to achieve an extremely high data compression ratio. It is entirely possible to achieve dramatic results when pattern recognition techniques are employed. The final goal is the demonstration of extremely high data compression ratios using NASA pictures

Towards an Architecture Model for Emotion Recognition in Interactive Systems: Application to a Ballet Dance Show

International audienceIn the context of the very dynamic and challenging domain of affective computing, we adopt a software engineering point of view on emotion recognition in interactive systems. Our goal is threefold: first, developing an architecture model for emotion recognition. This architecture model emphasizes multimodality and reusability. Second, developing a prototype based on this architecture model. For this prototype we focus on gesture-based emotion recognition. And third, using this prototype for augmenting a ballet dance show. We hence describe an overview of our work so far, from the design of a flexible and multimodal emotion recognition architecture model, to a presentation of a gesture-based emotion recognition prototype based on this model, to a prototype that augments a ballet stage, taking emotions as inputs

Public participation and New Urbanism: a conflicting agenda?

The challenges to public participation in planning are numerous. Inclusive and equitable processes are recognised as an ideal in much planning theory and practice, yet this ideal is increasingly difficult to realise in today’s societies that comprise diverse and multiple publics. Within the wider sustainability debate, ‘New Urbanism’ has emerged as a pragmatic alternative to convention allow-density development. Concomitant with a range of prescribed physical outcomes, the New Urbanism movement advocates a process of ‘citizen-based participatory planning and design’. Charrettes, with urban design workshops, are the favoured tools for achieving this goal. However, it is argued that the adherence to a single type of participatory tool can be inconsistent with accepted ideals of participation processes and has several implications. Of particular concern is the role of the charrette planner or facilitator, a figure who has the potential to manipulate the public because of his/her inevitable allegiance to the New Urban agenda. In addition, the examination of a charrette process in a small New Zealand town raises several broader questions about the ability of the approach to address issues of inclusiveness and the recognition of difference, two fundamental elements of good participatory processes

Local Certification of Some Geometric Intersection Graph Classes

In the context of distributed certification, the recognition of graph classes has started to be intensively studied. For instance, different results related to the recognition of planar, bounded tree-width and $H$-minor free graphs have been recently obtained. The goal of the present work is to design compact certificates for the local recognition of relevant geometric intersection graph classes, namely interval, chordal, circular arc, trapezoid and permutation. More precisely, we give proof labeling schemes recognizing each of these classes with logarithmic-sized certificates. We also provide tight logarithmic lower bounds on the size of the certificates on the proof labeling schemes for the recognition of any of the aforementioned geometric intersection graph classes