Semantic segmentation requires a detailed labeling of image pixels by object category. Information derived from local image patches is necessary to describe the detailed shape of individual objects. However, this information is ambiguous and can result in noisy labels. Global inference of image content can instead capture the general semantic concepts present. We advocate that holistic inferenc...

The paradigm of Cloud computing introduces new approaches to manage IT services going beyond concepts originating in traditional IT service management. The main goal is to automate the whole management of services to reduce costs and to make management tasks less error-prone. Two different service management paradigms are used in practice: configuration management and model-driven Cloud managem...

I claim that an argument from the philosophy of statistics can be improved by using Carnapian inductive logic. \citet{GelmanShalizi2012} criticise a philosophical account of how statisticians ought to choose statistical models which they call `the received view of Bayesian inference' and propose a different account inspired by falsificationist philosophy of science. I introduce another philosop...

Holistic methods based on dense trajectories [29, 30] are currently the de facto standard for recognition of human activities in video. Whether holistic representations will sustain or will be superseded by higher level video encoding in terms of body pose and motion is the subject of an ongoing debate [12]. In this paper we aim to clarify the underlying factors responsible for good performance...

Face recognition is a biometric tool for verification and authentication a facial recognition based verification system can further be deemed a computer application for automatically verifying or identifying a person in a digital image. Analytic (local features based) and holistic (global features based) are the two common approaches employed for face recognition approaches with acceptable succ...