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151
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IDA
2009
Springer
15 years 1 months ago
Context-Based Distance Learning for Categorical Data Clustering
Abstract. Clustering data described by categorical attributes is a challenging task in data mining applications. Unlike numerical attributes, it is difficult to define a distance b...
Dino Ienco, Ruggero G. Pensa, Rosa Meo
143
Voted
CORR
2010
Springer
237views Education» more  CORR 2010»
15 years 1 months ago
Featureless 2D-3D Pose Estimation by Minimising an Illumination-Invariant Loss
The problem of identifying the 3D pose of a known object from a given 2D image has important applications in Computer Vision ranging from robotic vision to image analysis. Our pro...
Srimal Jayawardena, Marcus Hutter, Nathan Brewer
ISVC
2009
Springer
15 years 8 months ago
Data Vases:  2D and 3D Plots for Visualizing Multiple Time Series
Abstract. One challenge associated with the visualization of time-dependent data is to develop graphical representations that are effective for exploring multiple time-varying qua...
Sidharth Thakur, Theresa-Marie Rhyne
139
Voted
ICCV
2003
IEEE
16 years 5 months ago
Globally Convergent Autocalibration
Existing autocalibration techniques use numerical optimization algorithms that are prone to the problem of local minima. To address this problem, we have developed a method where ...
Arrigo Benedetti, Alessandro Busti, Michela Farenz...
103
Voted
RECOMB
2005
Springer
16 years 4 months ago
A Practical Approach to Significance Assessment in Alignment with Gaps
Abstract. Current numerical methods for assessing the statistical significance of local alignments with gaps are time consuming. Analytical solutions thus far have been limited to ...
Nicholas Chia, Ralf Bundschuh