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Knowledge-Supervised Learning: Knowledge Consensus Constraints for Person Re-Identification
Proceedings of the 29th ACM International Conference on Multimedia, 2021The consensus of multiple views on the same data will provide extra regularization, thereby improving accuracy. Based on this idea, we proposed a novel Knowledge-Supervised Learning (KSL) method for person re-identification (Re-ID), which can improve the performance without introducing extra inference cost.
Li Wang +7 more
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Knowledge Assets: Identification and Integration
2018Literature focused on knowledge assets often treats the individual components, such as human, social and organisational capital, separately. Although useful, this does not add to our understanding of how value is generated through the integration of various knowledge assets. This issue is at the heart of this chapter.
Juani Swart, Cliff Bowman, Kerrie Howard
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Language identification using multiple knowledge sources
1995 International Conference on Acoustics, Speech, and Signal Processing, 2002Language identification experiments have been carried out on language pairs taken from seven of the languages in the OGI Multi-language Telephone Speech Corpus. This builds on previous work but introduces new techniques which are used to exploit the acoustic and phonetic differences between the languages.
E.S. Parris, M.J. Carey
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Knowledge Transfer for Writer Identification
2018The technical literature on writer identification usually considers the best case scenario in terms of data availability, i.e., a database composed of hundreds of writers with several documents per writer is available to train the machine learning models. However, in real-life problems such a database may not be available.
Diego Bertolini +3 more
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Knowledge Identification and Acquisition in SMEs
International Journal of Knowledge Management, 2015Researchers and practitioners have been preoccupied with identifying ways for larger organizations to acquire and manage knowledge, however far less research attention has been directed towards these same pursuits in small and medium-sized enterprises (SMEs). This paper examines how SMEs engage in knowledge identification and acquisition; in particular
Becker, Karen +2 more
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Native language identification incorporating syntactic knowledge
2022"Inferring characteristics of authors from their textual data, often termed authorship profiling, is typically treated as a classification task, where an author is classified with respect to characteristics including gender, age, native language, and so on. This profile information is often of interest to marketing organisations for product promotional
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Knowledge Identification from Requirements Specification
2015One of the main artifacts in Requirements Engineering is the Requirements Specification (RS). Throughout the life cycle of the RS arises the need of extracting knowledge in order to facilitate communication with stakeholders. However, this process is not usually efficient. In the different proposals for the representation of an RS conflicts often arise,
Eduardo Barra, Jorge Morato
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Identification of Software Process Knowledge Management
Software Process: Improvement and Practice, 2002AbstractThe effective and explicit management of knowledge has been presented as a key factor in the survival of companies in current business environments. The software development business is no different. The authors of this paper investigated two software processes in three small software development companies to identify the explicit and tacit ...
Bridget Meehan, Ita Richardson
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Knowledge management opportunity space identification strategy
Knowledge and Process Management, 2010AbstractThis paper proposes that in contemporary organizations it is very important to have an analysis strategy that relates people, processes, technologies, and the key Knowledge Management (KM) elements involved before a KM project is initiated.
Mario Barcelo Valenzuela +5 more
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Managing knowledge in business requirements identification
Logistics Information Management, 2003This paper reflects on experiences when traditional IT approaches were used to design large IT systems and ended in failure. The main reflections focus on the reasons for system failure and how they relate to the diversity of knowledge, managing knowledge, and the understanding gaps that may exist between the business and the system developers.
S. Alshawi, W. Al‐Karaghouli
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