When crowdsourcing gold standards for NLP tasks, the workers may not reach a consensus on a single correct solution for each task. The goal of Crowd Truth is to embrace such disagreement between individual annotators and harness it as useful information to signal vague or ambiguous examples. Even though the technique relies on disagreement, we also assume that the differing opinions will cluste...

Epicurean epistemology is usually summarised in a controversial thesis according to which all perceptions are true . Although it seems very problematic and counterintuitive, careful investigation of the main sources shows us that Epicurus’ claim for the truth of perceptions is not so hasty but is supported with some serious arguments . in the paper, i examine the thesis according to which “all ...

Images on the Web come in hand with valuable textual content on hosting web pages that can be exploited to generate image annotations. However, web documents are usually composed of contents to multiple topics and the context of an image makes only a small portion of the full text of the web page. In order to get qualitative descriptions, methods that are able to extract the image context becom...

The basic unit of a CBIR system is a bundle of pixels which have some meaning in the semantics of human life, further more the number of objects in an image, the greater is the need for annotation. The interpretation of the objects depicted in an image depends upon the perception and possible mathematical measurements like size/shape of parasites which can be calculated, so that it may be helpf...

In remote sensing hyperspectral image processing, identifying the constituent spectra (endmembers) of the materials in the image is a key procedure for further analysis. The contrast between Endmember Inductions Algorithms (EIAs) is a delicate issue, because there is a shortage of validation images with accurate ground truth information, and the induced endmembers may not correspond to any know...

This paper presents a novel framework for combining well known shape, texture, size and resolution informatics descriptor of solitary pulmonary nodules (SPNs) detected using CT scan. The proposed methodology evaluates the performance of classifier in differentiating benign, malignant as well as metastasis SPNs with 246 chests CT scan of patients. Both patient-wise as well as nodule-wise availab...

In many settings, an effective way of evaluating objects of interest is to collect evaluations from dispersed individuals and to aggregate these evaluations together. Some examples are categorizing online content and evaluating student assignments via peer grading. For this data science problem, one challenge is to motivate participants to conduct such evaluations carefully and to report them h...

In this paper we present a covariance based tracking algorithm for intelligent video analysis to assist marine biologists in understanding the complex marine ecosystem in the Ken-Ding sub-tropical coral reef in Taiwan by processing underwater real-time videos recorded in open ocean. One of the most important aspects of marine biology research is the investigation of fish trajectories to identif...

The high complexity of modern large scale construction projects leads their schedules to be sensitive to delays. At underground construction sites the earthwork processes are vital, as most of the following tasks depend on them. This paper presents a method for estimating the productivity of soil removal by combining two technologies based on computer vision: photogrammetry and video analysis. ...