{"ok":true,"mode":"search","query":"wifi dense pose","page":1,"perPage":3,"count":3,"items":[{"doi":"10.1109/ipin.2013.6817853","title":"SignalSLAM: Simultaneous localization and mapping with mixed WiFi, Bluetooth, LTE and magnetic signals","year":2013,"citedBy":172,"summary":"Indoor localization typically relies on measuring a collection of RF signals, such as Received Signal Strength (RSS) from WiFi, in conjunction with spatial maps of signal fingerprints. A new technology for localization could arise with the...","authors":["Piotr Mirowski","Tin Kam Ho","Saehoon Yi","Michael B. MacDonald"],"source":"","doiUrl":"/10.1109/ipin.2013.6817853"},{"doi":"10.1109/jsac.2014.2328098","title":"What Will 5G Be?","year":2014,"citedBy":8153,"summary":"What will 5G be? What it will not be is an incremental advance on 4G. The previous four generations of cellular technology have each been a major paradigm shift that has broken backward compatibility. Indeed, 5G will need to be a paradigm...","authors":["Jeffrey G. Andrews","Stefano Buzzi","Wan Choi","Stephen V. Hanly","Angel Lozano","Anthony C. K. Soong"],"source":"IEEE Journal on Selected Areas in Communications","doiUrl":"/10.1109/jsac.2014.2328098"},{"doi":"10.1186/s40537-016-0043-6","title":"A survey of transfer learning","year":2016,"citedBy":6104,"summary":"Machine learning and data mining techniques have been used in numerous real-world applications. An assumption of traditional machine learning methodologies is the training data and testing data are taken from the same domain, such that the...","authors":["Karl R. Weiss","Taghi M. Khoshgoftaar","Dingding Wang"],"source":"Journal Of Big Data","doiUrl":"/10.1186/s40537-016-0043-6"}]}