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» Performance Measurements for Privacy Preserving Data Mining
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PKDD
2005
Springer
131views Data Mining» more  PKDD 2005»
15 years 11 months ago
ISOLLE: Locally Linear Embedding with Geodesic Distance
Locally Linear Embedding (LLE) has recently been proposed as a method for dimensional reduction of high-dimensional nonlinear data sets. In LLE each data point is reconstructed fro...
Claudio Varini, Andreas Degenhard, Tim W. Nattkemp...
GECCO
2005
Springer
134views Optimization» more  GECCO 2005»
15 years 11 months ago
Predicting mining activity with parallel genetic algorithms
We explore several different techniques in our quest to improve the overall model performance of a genetic algorithm calibrated probabilistic cellular automata. We use the Kappa ...
Sam Talaie, Ryan E. Leigh, Sushil J. Louis, Gary L...
CLEF
2006
Springer
15 years 9 months ago
Scientific Data of an Evaluation Campaign: Do We Properly Deal with Them?
Abstract. This paper examines the current way of keeping the data produced during the evaluation campaigns and highlights some shortenings of it. As a consequence, we propose a new...
Maristella Agosti, Giorgio Maria Di Nunzio, Nicola...
AVSS
2007
IEEE
16 years 11 days ago
Compression for 3D face recognition applications
This paper proposes a novel 3D lossy compression algorithm tailored for 3D faces. We analyse the effects of compression on the face verification rate and measure recognition perf...
Lorenzo Granai, Miroslav Hamouz, Jose Rafael Tena,...
CIKM
2008
Springer
15 years 8 months ago
The patent mining task in the seventh NTCIR workshop
This paper introduces the Patent Mining Task of the Seventh NTCIR Workshop and the test collections produced in this task. The task's goal was the classification of research ...
Hidetsugu Nanba, Atsushi Fujii, Makoto Iwayama, Ta...