نتایج جستجو برای: recognizing systems

تعداد نتایج: 1208997  

2013
Edith Hemaspaandra Lane A. Hemaspaandra Curtis Menton

Most theoretical definitions about the complexity of manipulating elections focus on the decision problem of recognizing which instances can be successfully manipulated, rather than the search problem of finding the successful manipulative actions. Since the latter is a far more natural goal for manipulators, that definitional focus may be misguided if these two complexities can differ. Our mai...

2008
Benjamin N. Waber

A difficult issue with understanding face-to-face interactions is the lack of context information. Badge-like wearable sensors, for instance, can now tell us who talks to whom, but the context of these interactions (work? social?) likely trumps any content or conversational dynamics information. In this paper we detail a study where we have automatic annotations of work context information. We ...

2005
Guillaume Fertin

Recursive circulant graphs G(N; d) have been introduced in 1994 by Park and Chwa [PC94] as a new topology for interconnection networks. Recursive circulant graphs G(N; d) are circulant graphs with N nodes and with jumps of powers of d. A subfamily of recursive circulant graphs (more precisely, G(2; 4)) is of same order and degree than the hypercube of dimension k, with sometimes better paramete...

2014
Ugan Yasavur Jorge Travieso Christine L. Lisetti Naphtali Rishe

There has recently been growing interest in valence and emotion sensing using a variety of signals. Text, as a communication channel, gathers a substantial amount of interest for recognizing its underlying sentiment (valence or polarity), affect or emotion (e.g. happy, sadness). We consider recognizing the valence of a sentence as a prior task to emotion sensing. In this article, we discuss our...

2014
Ugan Yasavur Jorge Travieso Christine Lisetti Naphtali Rishe

There has recently been growing interest in valence and emotion sensing using a variety of signals. Text, as a communication channel, gathers a substantial amount of interest for recognizing its underlying sentiment (valence or polarity), affect or emotion (e.g. happy, sadness). We consider recognizing the valence of a sentence as a prior task to emotion sensing. In this article, we discuss our...

1995
Douglas A. Reynolds

• Speech conveys several levels of information. On a primary level, speech conveys the words or message being spoken, but on a secondary level, speech also reveals information about the speaker. The Speech Systems Technology group at Lincoln Laboratory has developed and experimented with approaches for automatically recognizing the words being spoken, the language being spoken, and the topic of...

2006
LAM Yuet Ming Lam Yuet Ming

Although speech is the most natural means for communication among humans, there are situations in which speech is impossible or inappropriate. Examples include people with vocal cord damage, underwater communications or in noisy environments. To address some of the limitations of speech communication, nonacoustic communication systems using surface electromyogram signals have been proposed. How...

Journal: :Pediatrics 2007
Robert S Gerstle

The use of electronic prescribing applications in pediatric practice, as recommended by the federal government and other national health care improvement organizations, should be encouraged. Legislation and policies that foster adoption of electronic prescribing systems by pediatricians should recognize both specific pediatric requirements and general economic incentives required to speed the a...

2015
Shaveta Sharma Parminder Singh

From the past years, researchers have showed a very interest in the speech recognition systems based on the emotions. Mainly the research has been done with the aim to bring closer both human and computer with each other by recognizing mood swings. In the recognizing process we must know how to represent the emotions on the basis of some features like sad, happy etc. When the verbal content is ...

Journal: :Public Administration 2019

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