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TASLP
2011
14 years 5 months ago
A Probabilistic Interaction Model for Multipitch Tracking With Factorial Hidden Markov Models
—We present a simple and efficient feature modeling approach for tracking the pitch of two simultaneously active speakers. We model the spectrogram features of single speakers u...
Michael Wohlmayr, Michael Stark, Franz Pernkopf
BMCBI
2008
138views more  BMCBI 2008»
14 years 10 months ago
M-BISON: Microarray-based integration of data sources using networks
Background: The accurate detection of differentially expressed (DE) genes has become a central task in microarray analysis. Unfortunately, the noise level and experimental variabi...
Bernie J. Daigle Jr., Russ B. Altman
NPL
2006
85views more  NPL 2006»
14 years 10 months ago
A Neural Model for Context-dependent Sequence Learning
A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing inf...
Luc Berthouze, Adriaan G. Tijsseling
AAAI
2006
14 years 11 months ago
Identification and Evaluation of Weak Community Structures in Networks
Identifying intrinsic structures in large networks is a fundamental problem in many fields, such as engineering, social science and biology. In this paper, we are concerned with c...
Jianhua Ruan, Weixiong Zhang
TPDS
2010
135views more  TPDS 2010»
14 years 8 months ago
Maximizing Service Reliability in Distributed Computing Systems with Random Node Failures: Theory and Implementation
—In distributed computing systems (DCSs) where server nodes can fail permanently with nonzero probability, the system performance can be assessed by means of the service reliabil...
Jorge E. Pezoa, Sagar Dhakal, Majeed M. Hayat