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FLAIRS
2004
15 years 8 months ago
Adaptive K-Means Clustering
Clustering is used to organize data for efficient retrieval. One of the problems in clustering is the identification of clusters in given data. A popular technique for clustering ...
Sanjiv K. Bhatia
ECCV
2008
Springer
16 years 9 months ago
Robust Multiple Structures Estimation with J-Linkage
This paper tackles the problem of fitting multiple instances of a model to data corrupted by noise and outliers. The proposed solution is based on random sampling and conceptual da...
Roberto Toldo, Andrea Fusiello
CANDC
2009
ACM
16 years 1 months ago
A sub-symbolic model of the cognitive processes of re-representation and insight
We present a sub-symbolic computational model for effecting knowledge re-representation and insight. Given a set of data, manifold learning is used to automatically organize the d...
Dan Ventura
ICDM
2008
IEEE
126views Data Mining» more  ICDM 2008»
16 years 1 months ago
Detecting Suspicious Behavior in Surveillance Images
We introduce a novel technique to detect anomalies in images. The notion of normalcy is given by a baseline of images, under the assumption that the majority of such images is nor...
Daniel Barbará, Carlotta Domeniconi, Zoran ...
ROMAN
2007
IEEE
159views Robotics» more  ROMAN 2007»
16 years 1 months ago
"What Does it Do?": HRI Studies with the General Public
Abstract— This paper introduces a methodology for HumanRobot Interaction (HRI) experiments that involves soliciting the general public for participation. In particular, it review...
Douglas A. Few, Christine M. Roman, David J. Bruem...