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» An Experiment with Distance Measures for Clustering
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AAAI
2010
14 years 11 months ago
Gaussian Mixture Model with Local Consistency
Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...
Jialu Liu, Deng Cai, Xiaofei He
CHI
2002
ACM
15 years 10 months ago
Interacting at a distance: measuring the performance of laser pointers and other devices
It is difficult to interact with computer displays that are across the room. A popular approach is to use laser pointers tracked by a camera, but interaction techniques using lase...
Brad A. Myers, Rishi Bhatnagar, Jeffrey Nichols, C...
CHI
2011
ACM
14 years 1 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
CORR
2010
Springer
249views Education» more  CORR 2010»
14 years 9 months ago
Performance Analysis of Spectral Clustering on Compressed, Incomplete and Inaccurate Measurements
Spectral clustering is one of the most widely used techniques for extracting the underlying global structure of a data set. Compressed sensing and matrix completion have emerged a...
Blake Hunter, Thomas Strohmer
80
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EDBT
2006
ACM
145views Database» more  EDBT 2006»
15 years 9 months ago
Indexing Spatially Sensitive Distance Measures Using Multi-resolution Lower Bounds
Abstract. Comparison of images requires a distance metric that is sensitive to the spatial location of objects and features. Such sensitive distance measures can, however, be compu...
Vebjorn Ljosa, Arnab Bhattacharya, Ambuj K. Singh