Results 231 to 240 of about 940,098 (264)
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Co-occurrence of pain syndromes
Journal of Neural Transmission, 2019Many pain conditions in patients tend to co-occur, influencing the clinical expressions of each other in various ways. This paper summarizes the main concurrent pain conditions by analyzing the major interactions observed. In particular, co-occurrence will be examined in: visceral pain (especially ischemic heart disease, irritable bowel syndrome ...
Affaitati G. +4 more
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Parasomnias: co-occurrence and genetics
Psychiatric Genetics, 2001In clinical practice, parasomnias are often found to run in families and to co-occur. Several studies have indicated a role of genetic factors in them. In 1990, a questionnaire (response rate, 77%) sent to the Finnish Twin Cohort, a representative population sample aged 33-60 years, surveyed the frequency of five parasomnias (sleepwalking, sleeptalking,
C, Hublin +3 more
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Proceedings of the Workshop on Use of Context in Vision Processing, 2009
Head pose and gesture offer several conversational grounding cues and are used extensively in face-to-face interaction among people. To accurately recognize visual feedback, humans often use contextual knowledge from previous and current events to anticipate when feedback is most likely to occur.
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Head pose and gesture offer several conversational grounding cues and are used extensively in face-to-face interaction among people. To accurately recognize visual feedback, humans often use contextual knowledge from previous and current events to anticipate when feedback is most likely to occur.
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Spatiotemporal Co-occurrence Rules
2014Spatiotemporal co-occurrence rules (STCORs) discovery is an important problem in many application domains such as weather monitoring and solar physics, which is our application focus. In this paper, we present a general framework to identify STCORs for continuously evolving spatiotemporal events that have extended spatial representations.
Karthik Ganesan Pillai +4 more
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2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Convolutional Neural Networks (CNNs) became a very popular tool for image analysis. Convolutions are fast to compute and easy to store, but they also have some limitations. First, they are shift-invariant and, as a result, they do not adapt to different regions of the image.
Irina Shevlev, Shai Avidan
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Convolutional Neural Networks (CNNs) became a very popular tool for image analysis. Convolutions are fast to compute and easy to store, but they also have some limitations. First, they are shift-invariant and, as a result, they do not adapt to different regions of the image.
Irina Shevlev, Shai Avidan
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2020
This is the author accepted manuscript. The final version is available from Springer via the DOI in this record ; In this chapter, we provide an overview of quantitative as well as qualitative approaches to co-occurrence data. We begin with a brief terminological overview of different types of co-occurrence that are prominent in corpus-linguistic ...
Stefan Th. Gries, Philip Durrant
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This is the author accepted manuscript. The final version is available from Springer via the DOI in this record ; In this chapter, we provide an overview of quantitative as well as qualitative approaches to co-occurrence data. We begin with a brief terminological overview of different types of co-occurrence that are prominent in corpus-linguistic ...
Stefan Th. Gries, Philip Durrant
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Using Tag Co-occurrence for Recommendation
2009 Ninth International Conference on Intelligent Systems Design and Applications, 2009Tagging with free form tags is becoming an increasingly important indexing mechanism. However, free form tags have characteristics that require special treatment when used for searching or recommendation because they show much more variation than controlled keywords. In this paper we present a method that puts this large variation to good use.
Wartena C., Brussee R., Wibbels M.
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Keyword Extraction Using Word Co-occurrence
2010 Workshops on Database and Expert Systems Applications, 2010A common strategy to assign keywords to documents is to select the most appropriate words from the document text. One of the most important criteria for a word to be selected as keyword is its relevance for the text. The tf.idf score of a term is a widely used relevance measure.
Wartena C., Brussee R., Slakhorst W.
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Co-Occurrence of Chancroid and Gonorrhea
Journal of Cutaneous Medicine and Surgery, 2006Background: Gonorrhea and chancroid are common sexually transmitted infections in many parts of the world. Still, cooccurrence of these two conditions is uncommonly reported. Objective: We present here a patient who presented with painful genital ulcers and urethral discharge simultaneously acquired from a single exposure, which turned out to be ...
Al-Mutairi, Nawaf +2 more
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Elite Co-Occurrence in the Media
Asian Journal of Social Science, 2015We present a new computational methodology to identify national political elites, and demonstrate it for Indonesia. On the basis that elites have an “organised capacity to make real and continuing political trouble”, we identify them as those individuals who occur most frequently in a large corpus of politically-oriented newspaper articles.
Traag, V.A. +2 more
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