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This work introduces a handwritten Manipuri Meetei-Mayek character dataset which consists of more than 5000 data samples which were collected from a diverse population group that belongs to different age groups (from 4 years to 60 years), genders, educational backgrounds, occupations, communities from three different districts of Manipur, India (Imphal East District, Thoubal District and Kangpokpi District) during March and April 2019.
- Subjects:
- Computing
- Keywords:
- Optical pattern recognition
- Resource Type:
- Others
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Others
This package contains: 1. SUFR-W, a dataset of “in the wild” natural images of faces gathered from the internet. The protocol used to create the dataset is described in Leibo, Liao and Poggio (2014) - https://cbmm.mit.edu/publications/conference-abstracts/subtasks-unconstrained-face-recognition 2. The full set of SUFR synthetic datasets, called the “Subtasks of Unconstrained Face Recognition Challenge” in Leibo, Liao and Poggio (2014) - https://cbmm.mit.edu/publications/conference-abstracts/subtasks-unconstrained-face-recognition
- Subjects:
- Computing
- Keywords:
- Human face recognition (Computer science) Optical pattern recognition
- Resource Type:
- Others
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Others
A dataset of five actors performing five different actions (drink, eat, jump, run and walk) on a treadmill from five different views (0, 45, 90, 135, and 180 degrees from the front of the actor/treadmill; the treadmill rather than the camera was rotated in place to acquire from different viewpoints). The dataset was filmed on a fixed, constant background.
- Subjects:
- Computing
- Keywords:
- Motion perception (Vision) Computer vision Optical pattern recognition
- Resource Type:
- Others
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e-book
Pattern recognition, despite its relatively short history, has already found practical application in many areas of human activity. Systems of pattern recognition usually support people in performing tasks related to ensuring security, including access to premises and devices, detection of unusual changes (e.g. in medicine, cartography, geology), diagnosing technical conditions of devices, and many others. Nevertheless, pattern recognition is probably the most developing area because of the great demand for such solutions in the different areas of our lives. In this book we have collected the experience of scientists from different parts of the world who have researched diverse areas connected directly or indirectly with pattern recognition. We hope that this book will be a treasure trove of knowledge and inspiration for further research in the field of pattern recognition.
- Subjects:
- Electronic and Information Engineering and Computing
- Keywords:
- Pattern recognition systems Pattern perception Image processing
- Resource Type:
- e-book
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e-book
Genetic and cellular technologies in life science have recently achieved remarkable progress, and thus the roles of biochemical engineers have also been changed to incorporate the use of new technology. Therefore, this book deals with current topics in biochemical engineering. The chapters of this book discuss research that has introduced artificial enzymes, kinetic models in bioprocessing, a small-scale production process, and production of energy with microbial fuel. These chapters offer novel ideas for the production of effective compounds and energy. Moreover, other research has introduced the production technology of stem cells and biomedical processes using nanoshells and extracellular vesicles. These chapters will provide novel ideas to produce effective compounds and develop therapies for various diseases.
- Subjects:
- Electronic and Information Engineering
- Keywords:
- Biochemical engineering
- Resource Type:
- e-book
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Others
Software developments is advancing the technological world today. This changes have far more reaching implications in I.T industries such as Big data, Artificial intelligence and Agile Software development methodologies. Competition in the software development ecosystem has made developers to build software that are quick and reliable and often referred to as Agile development. Agile transformation is real and requires rethinking the business management, recruitment process and data strategy in a bid to stimulate disruptive solutions from within in-house development and deployment. AI product development would require rapid transformational changes within any organization. This can be accomplished by establishing specific operating models that permit development teams with the freedom of technology choice. This publication highlights some operating models that can be adopted to improve the success of AI products using Agile software development methodologies.
- Subjects:
- Computing
- Keywords:
- Agile software development
- Resource Type:
- Others
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e-book
Artificial intelligence (AI) is a potent buzzword and happening technology which has greatly impacted the lifestyle of every human being either directly or indirectly and is shaping the future of tomorrow. In fact, AI is fast becoming an intrinsic part of our daily life and is not confined to university research labs, even if remarkable progress has been made in this domain. The benefit of this phenomenon is widely recognized in diversified areas, ranging from medicine to security to consumer applications and business, and resulting in improvements in the quality of life of humankind. Every new disruptive technology has its own pros and cons and AI is no exception to this rule. Privacy, data protection, and the rights of individuals pose social and ethical challenges.
- Subjects:
- Computing
- Keywords:
- Artificial intelligence
- Resource Type:
- e-book
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Video
The advent of data intensive science has fueled the generation of digital scientific data. Undoubtedly, digital research data plays a pivotal role in transparency and re-producibility of scientific results as well as in steering the innovation in a research process. However, the main challenges for science policy and infrastructure projects are to develop practices and solutions for research data management which in compliance with good scientific standards make the research data discoverable, citable and accessible for society potential reuse. The talk will present GeRDI - the Generic Research Data Infrastructure - which is such a research data management initiative targeting long tail content that stems from research communities belonging to different domains. It provides a generic and open software which connects research data infrastructures of communities to enable the investigation of multidisciplinary research questions.
- Keywords:
- Science -- Data processing Research -- Data processing Information storage retrieval systems
- Resource Type:
- Video
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Video
The seminar defines as Open Science practices and processes in all scientific disciplines that foster participation and collaboration, accessibility and reuse, transparency and verifiability in science. This is linked to the use and promotion of an open web and the provision of infrastructures for scholarly research, teaching and learning. Open Science also promotes sustainable impact, both transdisciplinary in the science system as well as in politics, business, culture, and public life. Open Science is rooted in the tradition of established principles of good scientific practice. The goal is to critically reflect traditional scientific culture and to transfer it into the present era of linked-up research. Based upon experiences made in the EduArc project, the talk will place the emphasis on open educational resources and challenges to fully integrate them into teaching practices at universities.
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Video
An overview of the MOOC course: Human Anatomy ANA 101x, which featured on a real-life stroke case scenario.
- Subjects:
- Health Sciences
- Keywords:
- Human anatomy
- Resource Type:
- Video