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ICMLA
2010
14 years 7 months ago
Semi-Supervised Anomaly Detection for EEG Waveforms Using Deep Belief Nets
Abstract--Clinical electroencephalography (EEG) is routinely used to monitor brain function in critically ill patients, and specific EEG waveforms are recognized by clinicians as s...
Drausin Wulsin, Justin Blanco, Ram Mani, Brian Lit...
TNN
2011
107views more  TNN 2011»
14 years 4 months ago
Iterative Gaussianization: From ICA to Random Rotations
Abstract—Most signal processing problems involve the challenging task of multidimensional probability density function (PDF) estimation. In this paper, we propose a solution to t...
Valero Laparra, Gustavo Camps-Valls, Jesus Malo
ICASSP
2011
IEEE
14 years 1 months ago
Speech inversion: Benefits of tract variables over pellet trajectories
Speech inversion is a way of estimating articulatory trajectories or vocal tract configurations from the acoustic speech signal. Traditionally, articulator flesh-point or pellet t...
Vikramjit Mitra, Hosung Nam, Carol Y. Espy-Wilson,...
VEE
2012
ACM
322views Virtualization» more  VEE 2012»
13 years 5 months ago
Modeling virtualized applications using machine learning techniques
With the growing adoption of virtualized datacenters and cloud hosting services, the allocation and sizing of resources such as CPU, memory, and I/O bandwidth for virtual machines...
Sajib Kundu, Raju Rangaswami, Ajay Gulati, Ming Zh...
KDD
2005
ACM
192views Data Mining» more  KDD 2005»
15 years 10 months ago
Modeling and predicting personal information dissemination behavior
In this paper, we propose a new way to automatically model and predict human behavior of receiving and disseminating information by analyzing the contact and content of personal c...
Xiaodan Song, Ching-Yung Lin, Belle L. Tseng, Ming...
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