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Algorithm Visualizer is an interactive online platform that visualizes algorithms from code. Learning an algorithm gets much easier with visualizing it.
- Subjects:
- Computing
- Keywords:
- Algorithms Information visualization
- Resource Type:
- Others
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Others
The Global History of Capitalism project hosted the conference ‘Convergence/Divergence: New Approaches to the Global History of Capitalism’ on September 28-29 2019. The conference brought together cultural, economic, and political historians of global capitalism with the aim of starting a new conversation about the relationship between capitalism and global history.
- Subjects:
- Anthropology and Political Science
- Keywords:
- Economics Capitalism
- Resource Type:
- Others
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Others
This podcast is designed to give you an insight into the University of Oxford's digital - visual - cultural series of events. The series is interested in exploring the impact of digital visualising technologies on contemporary life and hope to give you a taste of why you should be too! Bite-sized episodes will introduce you to a range of themes and discussions, as well as multiple voices from academia and industry.
- Subjects:
- Society and Culture and Technology
- Keywords:
- Digital media -- Social aspects
- Resource Type:
- Others
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Others
Our Salary Survey is based on the analysis of permanent, interim and contract placements made across each of our geographies and recruitment disciplines during 2018, and our predictions for the year ahead.
- Subjects:
- Management
- Keywords:
- China Southeast Asia Wages
- Resource Type:
- Others
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Others
A free marketing simulation game designed for use by lecturers and instructors, to help their students to understand various marketing concepts. Instruction video and PowerPoint slides are included. The game can accommodate up to 10 teams to play at the one time, and up to 8 rounds. The simulation game is built in Excel, requires no special software to run and does not include any macros.
- Subjects:
- Marketing
- Keywords:
- Marketing -- Simulation methods Management games
- Resource Type:
- Others
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Others
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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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