Deep Shape Matching

We cast shape matching as metric learning with convolutional networks. We break the end-to-end process of image representation into two parts. Firstly, well established efficient methods are chosen to turn the images into edge maps. Secondly, the network is trained with edge maps of landmark images, which are automatically obtained by a structure-from-motion pipeline. The learned representation is evaluated on a range of different tasks, providing improvements on challenging cases of domain generalization, generic sketch-based image retrieval or its fine-grained counterpart. In contrast to other methods that learn a different model per task, object category, or domain, we use the same network throughout all our experiments, achieving state-of-the-art results in multiple benchmarks.Comment: ECCV 201

Image Retrieval using Multi-scale CNN Features Pooling

In this paper, we address the problem of image retrieval by learning images representation based on the activations of a Convolutional Neural Network. We present an end-to-end trainable network architecture that exploits a novel multi-scale local pooling based on NetVLAD and a triplet mining procedure based on samples difficulty to obtain an effective image representation. Extensive experiments show that our approach is able to reach state-of-the-art results on three standard datasets.Comment: Accepted at ICMR 202

A Dense-Depth Representation for VLAD descriptors in Content-Based Image Retrieval

The recent advances brought by deep learning allowed to improve the performance in image retrieval tasks. Through the many convolutional layers, available in a Convolutional Neural Network (CNN), it is possible to obtain a hierarchy of features from the evaluated image. At every step, the patches extracted are smaller than the previous levels and more representative. Following this idea, this paper introduces a new detector applied on the feature maps extracted from pre-trained CNN. Specifically, this approach lets to increase the number of features in order to increase the performance of the aggregation algorithms like the most famous and used VLAD embedding. The proposed approach is tested on different public datasets: Holidays, Oxford5k, Paris6k and UKB

Early chronic kidney disease: diagnosis, management and models of care

Chronic kidney disease (CKD) is prevalent in many countries, and the costs associated with the care of patients with end-stage renal disease (ESRD) are estimated to exceed US$1 trillion globally. The clinical and economic rationale for the design of timely and appropriate health system responses to limit the progression of CKD to ESRD is clear. Clinical care might improve if early-stage CKD with risk of progression to ESRD is differentiated from early-stage CKD that is unlikely to advance. The diagnostic tests that are currently used for CKD exhibit key limitations; therefore, additional research is required to increase awareness of the risk factors for CKD progression. Systems modelling can be used to evaluate the impact of different care models on CKD outcomes and costs. The US Indian Health Service has demonstrated that an integrated, system-wide approach can produce notable benefits on cardiovascular and renal health outcomes. Economic and clinical improvements might, therefore, be possible if CKD is reconceptualized as a part of primary care. This Review discusses which early CKD interventions are appropriate, the optimum time to provide clinical care, and the most suitable model of care to adopt

FRICTIONAL MODELING AND OPTIMIZATION FOR A VIBRATION MODAL ANALYSIS SIMULATOR DEVICE USING GENETIC ALGORITHM

The aim of this study is friction modeling and optimization of a âvibration modal analysis simulatorâ. This device has been used for observation and measurement of natural frequencies and mode shapes ofvibrating components and parts under the free or forced vibration conditions. In this paper to obtain linear vibrating motion with less measurement errors and optimum friction factor, the new prototype has been designed using the genetic algorithm. Mass linear motion is modeled by viscous friction agent so that optimized friction factor C with six sub-designation factors is calculated. Obtained results with respect to precursorâs availability, fabrication ability and from the economical point of view are more amenable and applicable than the preliminary devices and show a 70% reduction in friction factor

Representing variability in enterprise architecture: a case study

Organizations that operate on an international scale have a high variation of business operations, caused by country-specific regulations and compliance requirements. The differences in requirements lead to variability in the designed business processes and their supporting applications and infrastructure technology. Such variability should be represented in enterprise architectures, which are structures that align business operations to IT. However, current approaches to enterprise architecture are agnostic to variability. The paper presents an explorative case study, performed at an international high-tech company in the area of electronic invoicing, in which a solution for representing variability in enterprise architecture is designed. The developed solution has been validated by company experts

Representing variability in enterprise architecture:a case study

Organizations that operate on an international scale have a high variation of business operations, caused by country-specific regulations and compliance requirements. The differences in requirements lead to variability in the designed business processes and their supporting applications and infrastructure technology. Such variability should be represented in enterprise architectures, which are structures that align business operations to IT. However, current approaches to enterprise architecture are agnostic to variability. The paper presents an explorative case study, performed at an international high-tech company in the area of electronic invoicing, in which a solution for representing variability in enterprise architecture is designed. The developed solution has been validated by company experts

Message from the MARCH 2017 Chairs

Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record