Title: Human Action Recognition for Surveillance Using Deep Learning Techniques Basic Idea: Human Action Recognition (HAR)‚ an emerging domain of computer vision used to recognize the behavioural action of human. It has many applications like human machine interaction‚ video retrieval and surveillance. It is a very hot topic in machine learning‚ deep learning and computer vision. So In this domain I have decided to work on Surveillance‚ the basic idea of this topic is to recognize abnormal of human
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Q: Discuss the difficulties relating to the recognition and measurement of intangibles generally and of brands in particular. Refer to the example in Enigma plc in your discussion. According to IAS 38‚ an intangible asset defines as “an identifiable‚ non-monetary asset without physical substance” including brand‚ computer software‚ patents and copyrights. As this typical asset has no physical substance‚ it is really difficult to recognize and measure it. This essay mainly aims to explain the
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1. Introduction The New York Convention on the Recognition and Enforcement of Foreign Arbitral Awards‚ 1958 (“Convention” or “NYC”)‚ at its basest level‚ is a mutual understanding between signatory states that their legal systems will make genuine efforts at recognising and enforcing an arbitral award that is jurisdictionally linked to another signatory state. As it is first and foremost a creature of international law‚ this agreement obliges each signatory state to apply only the rules specified
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AFRICAN POLITICAL AND ECONOMIC TRANSITION (FOCUSING ON PRESSURE & CHANGE MANAGEMENT): CASE STUDY OF NIGERIA & GHANA ON REVENUE COLLECTION PROCESSES Overview of Organization Nigeria: Nigeria is endowed with abundant natural resources. “It’s proven oil reserves are estimated by the U.S. United States Energy Information Administration (EIA) at between 16 and 22 billion barrels (3.5×109 m3)‚1 but other sources claim there could be as much as 35.3 billion barrels (5.61×109 m3)2. Its reserves make
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Providers in the healthcare sector have three major factors that impact their revenue flow for business (Cleverley‚ Cleverley‚ & Song‚ 2012). The stability of revenue flow is affected by price setting‚ payer contract negotiations‚ and management of billing and coding practices. Price setting is the process that providers undergo to determine the prices they will charge for the services that they provide. Many payers will reimburse the provider for services based on negotiated contracts with the
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Discuss the difficulties relating to the recognition and measurement of intangibles generally and of brands in particular. Intangible assets are getting more and more important to companies or businesses. The reason for this is that the economy has changed from being industrial to knowledge-based. It is no longer the industrial value chain that creates value; it is innovation and constantly seeking new ways of meeting market demands. Companies can no longer differentiate themselves or create competitive
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reduce the funding gap between central and local governments‚ as well as reduce the gap between local government funding. Balance Fund is also known a intergovernmental transfer system. The system in Indonesia comprises three basic types of scheme: Revenue sharing Fund (Dana Bagi Hasil/DBH)‚ General Purpose grant (Dana Alokasi Umum/DAU)‚ and Grant for Specific Purpose (Dana Alokasi Khusus/DAK). Even though fiscal decentralization has been implemented nearly ten years‚ Indonesia’s achievements
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1. SHORT TITLE. - This Act may be called the Maharashtra Recognition of Trade Unions and Prevention of Unfair Labour Practices Act‚ 1971. 2. EXTENT‚ COMMENCEMENT AND APPLICATION. - (1) This Act extends to the whole of the State of Maharashtra. (2) It shall come into force on such date as the State Government may‚ by notification in the Official Gazette‚ appoint; and different dates may be appointed for different areas and for different provision of this Act. (3) Except as otherwise
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Differences in ability of facial and object image recognition and its suggestibility by image rotation Abstract The ability of face and object image recognition and it s suggestibility by image rotation was examined on first year Psychology students of University of London (N=59). “Subject” participants from assigned pairs were presented with a series of images including faces and objects where 50% of the images were inverted. “Subject” participants had
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1. Compare and contrast the norm-based coding and absolute coding models of face recognition. Faces show a lot of information we can use to guide our social interactions - gender‚ ethnicity‚ age‚ and emotional state. Identification of faces requires sensitivity to subtle differences in very similar visual patterns. How do we search face space? Do they tile the space so an individual face can be represented by a peak in the distribution of neural responses (absolute) or do the use a code to represent
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