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NIPS
2008
15 years 8 months ago
Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM
Neural activity is non-stationary and varies across time. Hidden Markov Models (HMMs) have been used to track the state transition among quasi-stationary discrete neural states. W...
Kentaro Katahira, Jun Nishikawa, Kazuo Okanoya, Ma...
IWPC
2010
IEEE
15 years 5 months ago
Studying the Impact of Social Structures on Software Quality
Abstract—Correcting software defects accounts for a significant amount of resources such as time, money and personnel. To be able to focus testing efforts where needed the most,...
Nicolas Bettenburg, Ahmed E. Hassan
CVPR
1998
IEEE
16 years 8 months ago
Incorporating Illumination Constraints in Deformable Models
In this paper we present a method for the integration of nonlinear holonomic constraints in deformable models and its application to the problems of shape and illuminant direction...
Dimitris Samaras, Dimitris N. Metaxas
ICPR
2000
IEEE
16 years 7 months ago
A Markov Random Field Model for Automatic Speech Recognition
Speech can be represented as a time/frequency distribution of energy using a multi-band filter bank. A Markov random field model, which takes into account the possible time asynch...
Gérard Chollet, Guillaume Gravier, Marc Sig...
BMCBI
2010
135views more  BMCBI 2010»
15 years 6 months ago
Quadratic variance models for adaptively preprocessing SELDI-TOF mass spectrometry data
Background: Surface enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI) is a proteomics tool for biomarker discovery and other high throughput applicatio...
Vincent A. Emanuele II, Brian M. Gurbaxani