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PAA
2006
15 years 6 months ago
An empirical study of machine learning techniques for affect recognition in human-robot interaction
Abstract Given the importance of implicit communication in human interactions, it would be valuable to have this capability in robotic systems wherein a robot can detect the motiva...
Pramila Rani, Changchun Liu, Nilanjan Sarkar, Eric...
ECCV
2006
Springer
16 years 8 months ago
Machine Learning for High-Speed Corner Detection
Abstract Where feature points are used in real-time frame-rate applications, a high-speed feature detector is necessary. Feature detectors such as SIFT (DoG), Harris and SUSAN are ...
Edward Rosten, Tom Drummond
VIS
2009
IEEE
399views Visualization» more  VIS 2009»
16 years 7 months ago
Visual Human+Machine Learning
In this paper we describe a novel method to integrate interactive visual analysis and machine learning to support the insight generation of the user. The suggested approach combine...
Raphael Fuchs, Jürgen Waser, Meister Eduard Gr...
KDD
2004
ACM
139views Data Mining» more  KDD 2004»
16 years 7 months ago
Learning a complex metabolomic dataset using random forests and support vector machines
Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
Young Truong, Xiaodong Lin, Chris Beecher
ISPASS
2009
IEEE
16 years 1 months ago
Machine learning based online performance prediction for runtime parallelization and task scheduling
—With the emerging many-core paradigm, parallel programming must extend beyond its traditional realm of scientific applications. Converting existing sequential applications as w...
Jiangtian Li, Xiaosong Ma, Karan Singh, Martin Sch...