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WEBI
2007
Springer
14 years 2 months ago
Contextual Prediction of Communication Flow in Social Networks
The paper develops a novel computational framework for predicting communication flow in social networks based on several contextual features. The problem is important because pred...
Munmun De Choudhury, Hari Sundaram, Ajita John, Do...
NIPS
2004
13 years 10 months ago
Parametric Embedding for Class Visualization
In this paper, we propose a new method, Parametric Embedding (PE), for visualizing the posteriors estimated over a mixture model. PE simultaneously embeds both objects and their c...
Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean S...
MICCAI
2010
Springer
13 years 7 months ago
Brain Morphometry by Probabilistic Latent Semantic Analysis
The paper proposes a new shape morphometry approach to combine advanced classification techniques with geometric features in order to identify morphological abnormalities on brain...
Umberto Castellani, Alessandro Perina, Vittorio Mu...
QUESTA
2010
107views more  QUESTA 2010»
13 years 7 months ago
On the inapproximability of M/G/K: why two moments of job size distribution are not enough
The M/G/K queueing system is one of the oldest model for multi-server systems, and has been the topic of performance papers for almost half a century. However, even now, only coar...
Varun Gupta, Mor Harchol-Balter, J. G. Dai, Bert Z...
TSP
2010
13 years 3 months ago
Tensor algebra and multidimensional harmonic retrieval in signal processing for MIMO radar
Detection and estimation problems in multiple-input multiple-output (MIMO) radar have recently drawn considerable interest in the signal processing community. Radar has long been a...
Dimitri Nion, Nicholas D. Sidiropoulos