نتایج جستجو برای: mnemonic keyword method

تعداد نتایج: 1642932  

2004
S. Sunil

\ , I \ I I The problem Of discriminating keyword and non-keyword speech which is important in wordspotting applications is addressed here. We have shown that garbage models cannot reduce both rejection and false alarm rates simultaneously. Thus, the following relation becomes apparent from the above inequalities O'In I ) > " ( o ' l l P ) . P(08 I R P ) > p(oP I R 1 ) (4) TO achieve this we ha...

Journal: :Cerebral cortex 2015
Carter Wendelken Joshua K Lee Jacqueline Pospisil Marcos Sastre Julia M Ross Silvia A Bunge Simona Ghetti

One of the most important factors driving the development of memory during childhood is mnemonic control, or the capacity to initiate and maintain the processes that guide encoding and retrieval operations. The ability to selectively attend to and encode relevant stimuli is a particularly useful form of mnemonic control, and is one that undergoes marked improvement over childhood. We hypothesiz...

Abstract—Keyword Search is known as a user-friendly alternative for structured languages to retrieve information from graph-structured data. Efficient retrieving of relevant answers to a keyword query and effective ranking of these answers according to their relevance are two main challenges in the keyword search over graph-structured data. In this paper, a novel scoring function is proposed, w...

Journal: :Memory & cognition 2010
Michael F Verde Laura K Stone Hannah S Hatch Simone Schnall

Does familiarity arise from direct access to memory representations (a mnemonic account) or from inferences and diagnostic cues (an attributional account)? These theoretically distinct explanations can be difficult to distinguish in practice, as is shown by the positivity effect, the increase in feelings of familiarity that accompanies positive emotion. Experiment 1 manipulated mnemonic and att...

2000
Yumi Wakita Kenji Matsui Yoshinori Sagisaka

For robust speech translation, we propose a new language translation method in which speech recognition results are mapped to example sentences using keywords. In this method, the keyword clustering is used to cope with recognition errors and the wide variety of words that do not appear in the training corpus. Initial classes defined using only thesaurus are redefined by using the dependency be...

Journal: :Neuropsychology 2010
Matthew D Grilli Elizabeth L Glisky

OBJECTIVE The ability to imagine an elaborative event from a personal perspective relies on several cognitive processes that may potentially enhance subsequent memory for the event, including visual imagery, semantic elaboration, emotional processing, and self-referential processing. In an effort to find a novel strategy for enhancing memory in memory-impaired individuals with neurological dama...

Considering the magneto-hydrodynamic equations in a non-relativistic multi uid framework, we study the behavior of small amplitude perturbations in cold quark matter. Magneto-hydrodynamic equations, along with a suitable equation of state for the cold quark matter, are expanded using the reductive perturbation method. It is shown that in small amplitude approximation, such a medium should be co...

1999
Wen-Chen Hu

Conventional search engines nd Web pages by using keyword matching. Two disadvantages for keyword matching are: (i) the order of keywords is ignored; and (ii) the approximate queries submitted by users are beyond the method of keyword matching can handle. Using keyword matching for Web page search is not satisfactory. This paper proposes a Web search system, named ApproxSeek, to facilitate Web ...

2011
Sonia Bergamaschi Francesco Guerra Silvia Rota Yannis Velegrakis

We present a novel method for translating keyword queries over relational databases into SQL queries with the same intended semantic meaning. In contrast to the majority of the existing keyword-based techniques, our approach does not require any a-priori knowledge of the data instance. It follows a probabilistic approach based on a Hidden Markov Model for computing the top-K best mappings of th...

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