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FMSD
1998
60views more  FMSD 1998»
13 years 8 months ago
The General Product Machine: a New Model for Symbolic FSM Traversal
Proving the equivalenceof two Finite State Machines (FSMs) has many applications to synthesis, veri cation, testing, and diagnosis. Building their product machine is a theoretical ...
Gianpiero Cabodi, Paolo Camurati, Fulvio Corno, Pa...
BMCBI
2005
114views more  BMCBI 2005»
13 years 8 months ago
A new decoding algorithm for hidden Markov models improves the prediction of the topology of all-beta membrane proteins
Background: Structure prediction of membrane proteins is still a challenging computational problem. Hidden Markov models (HMM) have been successfully applied to the problem of pre...
Piero Fariselli, Pier Luigi Martelli, Rita Casadio
NECO
2008
116views more  NECO 2008»
13 years 8 months ago
A (Somewhat) New Solution to the Variable Binding Problem
To perform automatic, unconscious inference, the human brain must solve the "binding problem" by correctly grouping properties with objects. Temporal binding models like...
Leon Barrett, Jerome Feldman, Liam Mac Dermed
CORR
2008
Springer
126views Education» more  CORR 2008»
13 years 9 months ago
3D Building Model Fitting Using A New Kinetic Framework
We describe a new approach to fit the polyhedron describing a 3D building model to the point cloud of a Digital Elevation Model (DEM). We introduce a new kinetic framework that hi...
Mathieu Brédif, Didier Boldo, Marc Pierrot ...
JMLR
2010
191views more  JMLR 2010»
13 years 3 months ago
Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
We present a new estimation principle for parameterized statistical models. The idea is to perform nonlinear logistic regression to discriminate between the observed data and some...
Michael Gutmann, Aapo Hyvärinen