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» Embedding Heterogeneous Data Using Statistical Models
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127
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IPSN
2010
Springer
15 years 2 months ago
Collaborative signal processing for action recognition in body sensor networks: a distributed classification algorithm using mot
Body sensor networks are emerging as a promising platform for remote human monitoring. With the aim of extracting bio-kinematic parameters from distributed body-worn sensors, thes...
Hassan Ghasemzadeh, Vitali Loseu, Roozbeh Jafari
84
Voted
VLDB
2005
ACM
100views Database» more  VLDB 2005»
15 years 6 months ago
PSYCHO: A Prototype System for Pattern Management
Patterns represent in a compact and rich in semantics way huge quantity of heterogeneous data. Due to their characteristics, specific systems are required for pattern management,...
Barbara Catania, Anna Maddalena, Maurizio Mazza
111
Voted
ML
2010
ACM
147views Machine Learning» more  ML 2010»
14 years 7 months ago
An ensemble uncertainty aware measure for directed hill climbing ensemble pruning
This paper proposes a new measure for ensemble pruning via directed hill climbing, dubbed Uncertainty Weighted Accuracy (UWA), which takes into account the uncertainty of the decis...
Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. ...
TIFS
2010
120views more  TIFS 2010»
14 years 7 months ago
Quantitative Structural Steganalysis of Jsteg
Quantitative steganalysis strives to estimate the change rate defined as the relative number of embedding changes introduced by steganography. In this paper, we propose two new cla...
Jan Kodovský, Jessica J. Fridrich
127
Voted
ICIP
2010
IEEE
14 years 10 months ago
Combining free energy score spaces with information theoretic kernels: Application to scene classification
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
Manuele Bicego, Alessandro Perina, Vittorio Murino...