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» Selection in the Presence of Noise
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KDD
2008
ACM
138views Data Mining» more  KDD 2008»
15 years 10 months ago
Quantitative evaluation of approximate frequent pattern mining algorithms
Traditional association mining algorithms use a strict definition of support that requires every item in a frequent itemset to occur in each supporting transaction. In real-life d...
Rohit Gupta, Gang Fang, Blayne Field, Michael Stei...
PRESENCE
2010
84views more  PRESENCE 2010»
14 years 8 months ago
Effects of P300-Based BCI Use on Reported Presence in a Virtual Environment
Brain–computer interfaces (BCIs) are becoming more and more popular as an input device for virtual worlds and computer games. Depending on their function, a major drawback is th...
Christoph Groenegress, Clemens Holzner, Christoph ...
ICML
1997
IEEE
15 years 10 months ago
Learning Belief Networks in the Presence of Missing Values and Hidden Variables
In recent years there has been a flurry of works on learning probabilistic belief networks. Current state of the art methods have been shown to be successful for two learning scen...
Nir Friedman
ICC
2007
IEEE
119views Communications» more  ICC 2007»
15 years 1 months ago
Asymptotic SER Analysis of EGC and SC in Fading and Non-Gaussian Noise and Interference
In this paper, we present a unified asymptotic symbol error rate (SER) analysis for linearly modulated signals with equal gain combining (EGC) and selection combining (SC) at the r...
Amir Nasri, Robert Schober, Yao Ma
ICPR
2002
IEEE
15 years 11 months ago
Multibaseline Stereo in the Presence of Specular Reflections
We address the problem of accurate depth estimation using multibaseline stereo in the presence of specular reflections. Specular reflections can cause the intensity and color of c...
Yuanzhen Li, Stephen Lin, Hanqing Lu, Sing Bing Ka...