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pro vyhledávání: '"Sridhar, Sharath N."'
Autor:
Veit, Andreas, Wilber, Michael, Vaish, Rajan, Belongie, Serge, Davis, James, Anand, Vishal, Aviral, Anshu, Chakrabarty, Prithvijit, Chandak, Yash, Chaturvedi, Sidharth, Devaraj, Chinmaya, Dhall, Ankit, Dwivedi, Utkarsh, Gupte, Sanket, Sridhar, Sharath N., Paga, Karthik, Pahuja, Anuj, Raisinghani, Aditya, Sharma, Ayush, Sharma, Shweta, Sinha, Darpana, Thakkar, Nisarg, Vignesh, K. Bala, Verma, Utkarsh, Abhishek, Kanniganti, Agrawal, Amod, Aishwarya, Arya, Bhattacharjee, Aurgho, Dhanasekar, Sarveshwaran, Gullapalli, Venkata Karthik, Gupta, Shuchita, G, Chandana, Jain, Kinjal, Kapur, Simran, Kasula, Meghana, Kumar, Shashi, Kundaliya, Parth, Mathur, Utkarsh, Mishra, Alankrit, Mudgal, Aayush, Nadimpalli, Aditya, Nihit, Munakala Sree, Periwal, Akanksha, Sagar, Ayush, Shah, Ayush, Sharma, Vikas, Sharma, Yashovardhan, Siddiqui, Faizal, Singh, Virender, S., Abhinav, Yadav, Anurag. D.
When crowdsourcing systems are used in combination with machine inference systems in the real world, they benefit the most when the machine system is deeply integrated with the crowd workers. However, if researchers wish to integrate the crowd with "
Externí odkaz:
http://arxiv.org/abs/1509.07543