نتایج جستجو برای: text enhancement
تعداد نتایج: 291960 فیلتر نتایج به سال:
The analysis of the text content in emails, blogs, tweets, forums and other forms of textual communication constitutes what we call text analytics. Text analytics is applicable to most industries: it can help analyze millions of emails; you can analyze customers’ comments and questions in forums; you can perform sentiment analysis using text analytics by measuring positive or negative perceptio...
---------------------------------------------------------------------***--------------------------------------------------------------------Abstract With the growing number of digital multimedia libraries, the need to efficiently index, browse and retrieve multimedia information is increased. Text embedded in images and video frames can help to identify the image information (e.g. somebody's na...
We perform a likelihood analysis of the minimal anomaly-mediated supersymmetry-breaking (mAMSB) model using constraints from cosmology and accelerator experiments. We find that either a wino-like or a Higgsino-like neutralino LSP, [Formula: see text], may provide the cold dark matter (DM), both with similar likelihoods. The upper limit on the DM density from Planck and other experiments enforce...
This paper presents and evaluates a novel text-directed speech enhancement algorithm for usage in non real-time applications. In our approach, the text of the intended dialogue is used to partition noisy speech into regions of broad phoneme classiications. Classes considered include stops, fricatives, aaricates, nasals, vowels, semivowels, diphthongs and silence. These partitions are then used ...
Current text classification systems typically use term stems for representing document content. Ontologies allow the usage of features on a higher semantic level than single words for text classification purposes. In this paper we propose such an enhancement of the classical document representation through concepts extracted from background knowledge. Boosting, a successful machine learning tec...
Cosine similarity is a widely implemented metric in information retrieval and related studies. This metric models a text as a vector of terms and the similarity between two texts is derived from cosine value between two texts' term vectors. Cosine similarity however still can't handle the semantic meaning of the text perfectly. This paper proposes an enhancement of cosine similarity measurement...
We describe the design and evaluation of CamWorks, a system that employs a video camera as a means of supporting capture from paper sources during reading and writing. The user can view a live video image of the source document alongside the electronic document in preparation. We describe a novel user interface developed to support selection of text in the video window, and several new techniqu...
Text mining processes mostly employ the keyword searches where keywords are extracted from text or using standard thesauri. Key word employment depends on either detecting the significant content reflective words or high frequent words. However, the key word approaches do not ensure semantic retrieval as the confinement of concepts to words is away from reality. Keyword enhancement is applied u...
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