Search results for "Benchmark"
showing 10 items of 310 documents
The Conceptualisation and Measurement of Mega Sport Event Legacies
2007
This paper focuses on the legacy of mega sport events. First, the concept of legacy is defined before the problems of measuring and forecasting legacy are discussed. Benchmarking and the use of macro data do not correctly reveal legacy. Hence a bottom-up approach is introduced which identifies the event legacy by evaluation of ‘soft’ and ‘hard’ event-related changes in a host city. These changes are defined as ‘event-structures’ (infrastructure, knowledge, image, emotions, networks, culture). Many of them change the quality of location factors of the host city in the long-term. The benefits/costs through the transformation of the host city are the legacy of a mega sport event. Here a partic…
Joint route planning under varying market conditions
2007
PurposeTo provide empirical evidence on the level of savings that can be attained by joint route planning and how these savings depend on specific market characteristics.Design/methodology/approachJoint route planning is a measure that companies can take to decrease the costs of their distribution activities. Essentially, this can either be achieved through horizontal cooperation or through outsourcing distribution to a logistics service provider. The synergy value is defined as the difference between distribution costs in the original situation where all entities perform their orders individually, and the costs of a system where all orders are collected and route schemes are set up simulta…
SIFT Matching by Context Exposed
2023
This paper investigates how to step up local image descriptor matching by exploiting matching context information. Two main contexts are identified, originated respectively from the descriptor space and from the keypoint space. The former is generally used to design the actual matching strategy while the latter to filter matches according to the local spatial consistency. On this basis, a new matching strategy and a novel local spatial filter, named respectively blob matching and Delaunay Triangulation Matching (DTM) are devised. Blob matching provides a general matching framework by merging together several strategies, including rank-based pre-filtering as well as many-to-many and symmetri…
Environment Sound Classification using Multiple Feature Channels and Attention based Deep Convolutional Neural Network
2020
In this paper, we propose a model for the Environment Sound Classification Task (ESC) that consists of multiple feature channels given as input to a Deep Convolutional Neural Network (CNN) with Attention mechanism. The novelty of the paper lies in using multiple feature channels consisting of Mel-Frequency Cepstral Coefficients (MFCC), Gammatone Frequency Cepstral Coefficients (GFCC), the Constant Q-transform (CQT) and Chromagram. Such multiple features have never been used before for signal or audio processing. And, we employ a deeper CNN (DCNN) compared to previous models, consisting of spatially separable convolutions working on time and feature domain separately. Alongside, we use atten…
Human experts vs. machines in taxa recognition
2020
The step of expert taxa recognition currently slows down the response time of many bioassessments. Shifting to quicker and cheaper state-of-the-art machine learning approaches is still met with expert scepticism towards the ability and logic of machines. In our study, we investigate both the differences in accuracy and in the identification logic of taxonomic experts and machines. We propose a systematic approach utilizing deep Convolutional Neural Nets with the transfer learning paradigm and extensively evaluate it over a multi-pose taxonomic dataset with hierarchical labels specifically created for this comparison. We also study the prediction accuracy on different ranks of taxonomic hier…
A comprehensive study of automatic program repair on the QuixBugs benchmark
2021
Abstract Automatic program repair papers tend to repeatedly use the same benchmarks. This poses a threat to the external validity of the findings of the program repair research community. In this paper, we perform an empirical study of automatic repair on a benchmark of bugs called QuixBugs, which has been little studied. In this paper, (1) We report on the characteristics of QuixBugs; (2) We study the effectiveness of 10 program repair tools on it; (3) We apply three patch correctness assessment techniques to comprehensively study the presence of overfitting patches in QuixBugs. Our key results are: (1) 16/40 buggy programs in QuixBugs can be repaired with at least a test suite adequate pa…
Towards realistic artificial benchmark for community detection algorithms evaluation
2013
Many algorithms have been proposed for revealing the community structure in complex networks. Tests under a wide range of realistic conditions must be performed in order to select the most appropriate for a particular application. Artificially generated networks are often used for this purpose. The most realistic generative method to date has been proposed by Lancichinetti, Fortunato and Radicchi (LFR). However, it does not produce networks with some typical features of real-world networks. To overcome this drawback, we investigate two alternative modifications of this algorithm. Experimental results show that in both cases, centralisation and degree correlation values of generated networks…
Fast PET Scan Tumor Segmentation Using Superpixels, Principal Component Analysis and K-Means Clustering
2018
Positron Emission Tomography scan images are extensively used in radiotherapy planning, clinical diagnosis, assessment of growth and treatment of a tumor. These all rely on fidelity and speed of detection and delineation algorithm. Despite intensive research, segmentation remained a challenging problem due to the diverse image content, resolution, shape, and noise. This paper presents a fast positron emission tomography tumor segmentation method in which superpixels are extracted first from the input image. Principal component analysis is then applied on the superpixels and also on their average. Distance vector of each superpixel from the average is computed in principal components coordin…
The 4th European Alternative Finance Benchmarking Report
2021
This year’s report is titled ‘Shifting Paradigms’ to, in part, emphasise the continued growth and development of the European Alternative Finance Industry, but also underscore that these patterns of growth can develop and change as the sector continues to develop and mature. Throughout the region, platforms have continued to grow, respond to regulation, and expand operations internationally. In some regions, model prominence has shifted, allowing for others to grow. At times, this has been a response to the development or lack of regulation, or simply a result of competing market forces. Last year’s report, ‘Expanding Horizons’, sought to exemplify the positive developments in European Alte…
The Global Alternative Finance Market Benchmarking Report
2021
For the first time, the Cambridge Centre for Alternative Finance has consolidated its annual regional reports to produce one global benchmarking report, with the intention of presenting world-wide online alternative finance data for 2018.This report presents the key findings from the CCAF annual global survey of online alternative finance. In all, 1,227 unique firms contributed to this study, providing 2,322 firm-level observations globally. Investigating in crowdfunding, P2P/marketplace lending or related capital raising activities, the study shows that 47 per cent of the firms were operating in two or more countries or jurisdictions. Highlights from the report In 2018, the global alternat…