Yaron Rachlin, Ph.D.
Affiliations: | 2007 | Carnegie Mellon University, Pittsburgh, PA |
Area:
roboticsGoogle:
"Yaron Rachlin"Mean distance: 17.17
Cross-listing: Robotree
Parents
Sign in to add mentorPradeep K. Khosla | grad student | 2007 | Carnegie Mellon | |
(On the interdependence of sensing, accuracy, and complexity in large -scale detection applications.) |
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Publications
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Rachlin Y, Negi R, Khosla PK. (2011) The sensing capacity of sensor networks Ieee Transactions On Information Theory. 57: 1675-1691 |
Rachlin Y, Balakrishnan N, Negi R, et al. (2007) Increasing sensor measurements to reduce detection complexity in large-scale detection applications Proceedings - Ieee Military Communications Conference Milcom |
Narayanaswamy B, Rachlin Y, Negi R, et al. (2007) The sequential decoding metric for detection in sensor networks Ieee International Symposium On Information Theory - Proceedings. 1611-1615 |
Rachlin Y, Negi R, Khosla P. (2006) On the interdependence of sensing and estimation complexity in sensor networks Proceedings of the Fifth International Conference On Information Processing in Sensor Networks, Ipsn '06. 2006: 160-167 |
Rachlin Y, Negi R, Khosla P. (2006) Temporal sensing capacity 44th Annual Allerton Conference On Communication, Control, and Computing 2006. 3: 1450-1454 |
Rachlin Y, Negi R, Khosla P. (2005) Sensing capacity for Markov random fields Ieee International Symposium On Information Theory - Proceedings. 2005: 132-136 |
Rachlin Y, Dolan JM, Khosla P. (2005) Efficient mapping through exploitation of spatial dependencies 2005 Ieee/Rsj International Conference On Intelligent Robots and Systems, Iros. 1047-1052 |
Rachlin Y, Negi R, Khosla P. (2005) Sensing capacity for discrete sensor network applications 2005 4th International Symposium On Information Processing in Sensor Networks, Ipsn 2005. 2005: 126-132 |
Rachlin Y, Negi R, Khosla P. (2004) Sensing capacity for target detection 2004 Ieee Information Theory Workshop - Proceedings, Itw. 147-152 |
Rachlin Y, Dolan J, Khosla P. (2003) Learning to Detect Partially Labeled People Ieee International Conference On Intelligent Robots and Systems. 2: 1536-1541 |