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ICML
2003
IEEE
16 years 7 months ago
Learning Metrics via Discriminant Kernels and Multidimensional Scaling: Toward Expected Euclidean Representation
Distance-based methods in machine learning and pattern recognition have to rely on a metric distance between points in the input space. Instead of specifying a metric a priori, we...
Zhihua Zhang
ISBI
2008
IEEE
16 years 6 months ago
A mathematical framework for incorporating anatomical knowledge in DT-MRI analysis
We propose a Bayesian approach to incorporate anatomical information in the clustering of fiber trajectories. An expectationmaximization (EM) algorithm is used to cluster the traj...
Carl-Fredrik Westin, Lilla Zöllei, Mahnaz Mad...
CHI
2008
ACM
16 years 6 months ago
Beyond the hype: sustainability & HCI
In this panel we explore: (1) the burgeoning discourse on sustainability concerns within HCI, (2) the material and behavioral challenges of sustainability in relation to interacti...
Lisa P. Nathan, Eli Blevis, Batya Friedman, Jay Ha...
EWSN
2006
Springer
16 years 5 months ago
Constraint-Based Distance Estimation in Ad-Hoc Wireless Sensor Networks
Abstract. We propose a lightweight localisation approach for supporting distance and range queries in ad hoc wireless sensor networks. In contrast to most previous localisation app...
Urs Bischoff, Martin Strohbach, Mike Hazas, Gerd K...
137
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WISE
2009
Springer
16 years 3 months ago
Clustering of Social Tagging System Users: A Topic and Time Based Approach
Abstract. Under Social Tagging Systems, a typical Web 2.0 application, users label digital data sources by using freely chosen textual descriptions (tags). Mining tag information r...
Vassiliki A. Koutsonikola, Athena Vakali, Eirini G...