Pattern Recognition

A wealth of advanced pattern recognition algorithms are emerging from the interdiscipline between technologies of effective visual features and the human-brain cognition process. Effective visual features are made possible through the rapid developments in appropriate sensor equipments, novel filter designs, and viable information processing architectures. While the understanding of human-brain cognition process broadens the way in which the computer can perform pattern recognition tasks. The present book is intended to collect representative researches around the globe focusing on low-level vision, filter design, features and image descriptors, data mining and analysis, and biologically inspired algorithms. The 27 chapters coved in this book disclose recent advances and new ideas in promoting the techniques, technology and applications of pattern recognition

Music Encoding Conference Proceedings 2021, 19–22 July, 2021 University of Alicante (Spain): Onsite & Online

Este documento incluye los artículos y pósters presentados en el Music Encoding Conference 2021 realizado en Alicante entre el 19 y el 22 de julio de 2022.Funded by project Multiscore, MCIN/AEI/10.13039/50110001103

CIRCUS 2001 Conference Proceedings: New Synergies in Digital Creativity. Conference for Content Integrated Research in Creative User Systems

CIRCUS (Content Integrated Research For Creative User Systems) was an ESPRIT Working Group, originally set up in 1988 as one of the very last additional actions in Framework 4, under DG III. Its purpose was to develop models for collaborative work between artists (the term here used in its widest sense) and technologists (ditto) and to promote these models by whatever means available. While some have criticised this aim as implicitly promoting a 1950s agenda of building bridges across C.P. Snow’s ‘two cultures’, there is no such intention here, rather that technology, particularly computer and communications technology (ICT) , is irresistibly intruding into what is normally thought of as creative work (and so practised by artists) and that, like any new technique, this has to be understood by its potential practitioners in terms of its true strengths and limitations. The specific problem that computer technology poses is that it is in principle malleable to such an extent that the limitations on its form and functionality are still barely understood, yet the people charged with the task of making the technology available have little or no understanding of the needs of creative users. What the artist usually sees is a tool which is in principle capable of being harnessed to creative ends but in practice resists being so applied. Quite often the tool is shaped more by blind economic forces than by a clear response to a specific, here creative, need. CIRCUS came into existence as a forum in which both artists and technologists could work out how best to play to the strengths of ICT and how to apply both creative and technological solutions (possibly both together) to its limitations. In particular the then new Framework V programme invited projects in such areas as new media but required them to be addressed in essentially the same old way, by technologists working towards commercialisation. The only obvious exception to this was in the area of cultural heritage which, incidentally, CIRCUS was also capable of reviewing. The scope for effective participation by artists was thus limited by an essentially technological agenda although everybody at the time, the participants of CIRCUS and programme managers in DG III, believed that we could do far better than this, and to develop new models of working which could inform the nature of Framework VI or even the later stages of F V. It is fair to say that everyone involved was excited by the idea of doing something quite new (and iconoclastic), not least the expanding of the expertise base on which future Frameworks could draw. It is also fair to say that, while not ultimately wholly original, the CIRCUS agenda was an ambitious one and the WG has had a chequered history peppered with misunderstandings perpetrated by the very people who might have thought would give the WG their strongest support. The CIRCUS idea has been aired before, specifically at the University of Illinois at Urbana- Champaign, the MIT Media Lab (and its imitators), and a recent IEEE forum. However a near total change in participation, fuelled by natural migration and a switch to DG XIII, has resulted in the CIRCUS agenda being restarted on at least one occasion and a fairly regular questioning of the principles on whose elucidation we are engaged. While this is no bad thing in principle, in practice we haven’t learned anything new from these periodic bouts of self-examination other than a reinforcement of the values our goals. On the other hand it is evident that we have made progress and have moved on a long way from where we started. A recent experience of a workshop whose agenda appeared to be to form another version of CIRCUS, this time with an overwhelmingly technological (DG III) membership, demonstrates they have a CIRCUS-worth of work to do before they will have reached where we are now. (Foreword of CIRCUS for Beginners

WiFi-Based Human Activity Recognition Using Attention-Based BiLSTM

Recently, significant efforts have been made to explore human activity recognition (HAR) techniques that use information gathered by existing indoor wireless infrastructures through WiFi signals without demanding the monitored subject to carry a dedicated device. The key intuition is that different activities introduce different multi-paths in WiFi signals and generate different patterns in the time series of channel state information (CSI). In this paper, we propose and evaluate a full pipeline for a CSI-based human activity recognition framework for 12 activities in three different spatial environments using two deep learning models: ABiLSTM and CNN-ABiLSTM. Evaluation experiments have demonstrated that the proposed models outperform state-of-the-art models. Also, the experiments show that the proposed models can be applied to other environments with different configurations, albeit with some caveats. The proposed ABiLSTM model achieves an overall accuracy of 94.03%, 91.96%, and 92.59% across the 3 target environments. While the proposed CNN-ABiLSTM model reaches an accuracy of 98.54%, 94.25% and 95.09% across those same environments

Music Encoding Conference Proceedings 2021. 19–22 July, 2021 University of Alicante (Spain): Onsite & Online. Edited by Stefan Münnich and David Rizo

Conference proceedings of the Music Encoding Conference 2021 with Foreword by Stefan Münnich and David Rizo