Majdi Bou-Matar’s Impact
نویسندگان
چکیده
منابع مشابه
An Automatic Sentence Bou Based on a Structured La
In this paper we describe an automatic sentence boundary detector, which inserts a period (sentence boundary marker) to a word sequence output by a speech recognizer. The state-ofthe-art automatic sentence boundary detectors insert a period at a position selected by a word tri-gram model from among candidates (long pauses) offered by an accoustic model. In contrast, the automatic sentence bound...
متن کاملUse of Decisio Tree to Detect Gttm Group Bou Daries
We describe σGTTM that combines the generative theory of tonal music (GTTM) and statistical learning. We previously devised exGTTM, which has accommodated the original GTTM to computer implementations. The exGTTM has adjustable parameters, these parameters have to be manually configured. Therefore, it is not perfectly suited for automation. To make complete automation possible, we combined stat...
متن کاملVirtual Interactive Classroom (VIC) using Mobile Technology at the Bangladesh Open University (BOU)
Bangladesh Open University (BOU) is the only national institution in Bangladesh which is catering distance education in the country. It has extensive network through out the country to provide readily accessible contact points for its learners. After passing of 15 years since its inception, BOU has lagged behind in using technologies. In consideration of its limit to conventional method in teac...
متن کاملUsi G Local Temporal Features of Bou Di G Boxes for Walki G/ru I G Classificatio
For intelligent surveillance, one of the major tasks to achieve is to recognize activities present in the scene of interest. Human subjects are the most important elements in a surveillance system and it is crucial to classify human actions. In this paper, we tackle the problem of classifying human actions as running or walking in videos. We propose using local temporal features extracted from ...
متن کاملIdentification and characterization of long non-coding RNAs as targets of mammary tumor cell proliferation and migration
Recent genome-wide studies revealed that as much as 80% of the human genome can be transcribed whereas only 2% of this RNA is translated into proteins. Non-coding transcripts can be subdivided into several groups, with long non-coding RNAs (lncRNAs) representing the largest and most diverse class. With breast cancer being the most frequent malignancy in women worldwide, we set out to investigat...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Theatre Research in Canada
سال: 2020
ISSN: 1196-1198,1913-9101
DOI: 10.7202/1068260ar