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NIPS
1998
15 years 2 months ago
Learning from Dyadic Data
Dyadic data refers to a domain with two nite sets of objects in which observations are made for dyads, i.e., pairs with one element from either set. This type of data arises natur...
Thomas Hofmann, Jan Puzicha, Michael I. Jordan
JMLR
2012
13 years 3 months ago
Structured Output Learning with High Order Loss Functions
Often when modeling structured domains, it is desirable to leverage information that is not naturally expressed as simply a label. Examples include knowledge about the evaluation ...
Daniel Tarlow, Richard S. Zemel
ICRA
2009
IEEE
83views Robotics» more  ICRA 2009»
15 years 8 months ago
Real-time correlative scan matching
— Scan matching, the problem of registering two laser scans in order to determine the relative positions from which the scans were obtained, is one of the most heavily relied-upo...
Edwin B. Olson
COMCOM
2010
133views more  COMCOM 2010»
15 years 1 months ago
Measuring long-term location privacy in vehicular communication systems
Vehicular communication systems are an emerging form of communication that enables new ways of cooperation among vehicles, traffic operators, and service providers. However, many ...
Zhendong Ma, Frank Kargl, Michael Weber
CHI
2011
ACM
14 years 5 months ago
The effects of task dimensionality, endpoint deviation, throughput calculation, and experiment design on pointing measures and m
Fitts’ law (1954) characterizes pointing speed-accuracy performance as throughput, whose invariance to target distances (A) and sizes (W) is known. However, it is unknown whethe...
Jacob O. Wobbrock, Kristen Shinohara, Alex Jansen