Promoting quality within the context of agile software development, it is extremely important as well useful to improve not only knowledge and decision-making project managers, product owners, assurance leaders but also support communication between teams. In this context, needs be visible in a synthetic intuitive way order facilitate decision accepting or rejecting each iteration life cycle. T...

The increasing amount of digital audio-visual content accessible today calls for scalable solutions for content based search. The state of the art solutions reveal linear scalability in respect to the collection size due to the large number of distance computations needed for comparing low level audio-visual features. As a result, search in large audio-visual collections is limited to associate...

The interior of every compact contractible PL n-manifold (n 5) supports a complete geodesic metric of strictly negative curvature. This provides a new family of simple examples illustrating the negative answer to a question of M. Gromov which asks whether metrically convex geodesic spaces which are topological manifolds must be homeomorphic to Euclidean spaces. The rst examples verifying the ne...

Endowing robots with the capability of assessing risk and making risk-aware decisions is widely considered a key step toward ensuring safety for robots operating under uncertainty. But, how should a robot quantify risk? A natural and common approach is to consider the framework whereby costs are assigned to stochastic outcomes - an assignment captured by a cost random variable. Quantifying risk...

In the online dial-a-ride problem (OlDarp), objects must be transported by a server between points in a metric space. Transportation requests (“rides”) arrive online, specifying the objects to be transported and the corresponding source and destination. We investigate the OlDarp for the objective of minimizing the maximum flow time. It has been well known that there can be no strictly competiti...

In this paper, we propose two enhancements to a statistical machine translation based approach to grammar correction for correcting all error categories. First, we propose tuning the SMT systems to optimize a metric more suited to the grammar correction task (F-β score) rather than the traditional BLEU metric used for tuning language translation tasks. Since the F-β score favours higher precisi...

Karapinar introduced the notion of interpolative Ciric-Reich-Rus type contractions in setting complete metric space. Taking his approach forward, H. Aydi, initiated concept w-admissibility and proved some fixed point results on same. This has been applied to partial-metric space as well. But question is, can above result be quasi-partial b-metric well? Our paper deals with raised question. The ...

In this paper, we consider the notion of distance/similarity metric learning method for classification and similarity search for face recognition purposes. We use the theory of filter banks, and Gabor wavelets for extraction of face features in three datasets: the ORL dataset, Yale face dataset, and ATT face dataset, and we compare the recognition performance with Gabor features to discrete Fou...

In this paper, we define the concept of compatible and weakly compatible mappings in b-metric spaces and inspired by the Ciric and et. al method, we produce appropriate conditions for given the unique common fixed point for a family of the even number of self-maps with together another two self-maps in a complete b-metric spaces. Also, we generalize this common fixed point theorem for a seq...