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PR
2010
129views more  PR 2010»
13 years 8 months ago
Parsimonious reduction of Gaussian mixture models with a variational-Bayes approach
Aggregating statistical representations of classes is an important task for current trends in scaling up learning and recognition, or for addressing them in distributed infrastruc...
Pierrick Bruneau, Marc Gelgon, Fabien Picarougne
TCBB
2010
80views more  TCBB 2010»
13 years 8 months ago
On the Importance of Comprehensible Classification Models for Protein Function Prediction
—The literature on protein function prediction is currently dominated by works aimed at maximizing predictive accuracy, ignoring the important issues of validation and interpreta...
Alex Alves Freitas, Daniela Wieser, Rolf Apweiler
VTC
2010
IEEE
114views Communications» more  VTC 2010»
13 years 8 months ago
On Non-Stationary Urban Macrocell Channels in a Cooperative Downlink Beamforming Scenario
—A common simplification in the treatment of random linear channels is the assumption of stationarity of the channel in time. The wireless channel is, however, known to be inher...
Adrian Ispas, Gerd Ascheid, Christian Schneider, R...
CAINE
2010
13 years 7 months ago
Scrybe: A Tablet Interface for Virtual Environments
Virtual reality (VR) technology has the potential to provide unique perspectives of data that are not possible with standard desktop hardware. The tracking devices often found wit...
Roger V. Hoang, Joshua Hegie, Frederick C. Harris ...
ICDM
2010
IEEE
119views Data Mining» more  ICDM 2010»
13 years 7 months ago
Visually Controllable Data Mining Methods
A large number of data mining methods are, as such, not applicable to fast, intuitive, and interactive use. Thus, there is a need for visually controllable data mining methods. Suc...
Kai Puolamäki, Panagiotis Papapetrou, Jefrey ...