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» A Practical Approach to Model Extension
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FGR
2000
IEEE
147views Biometrics» more  FGR 2000»
15 years 8 months ago
Hallucinating Faces
In this paper, we study face hallucination or synthesizing a high-resolution face image from a low-resolution input, with the help of a large collection of other highresolution fa...
Simon Baker, Takeo Kanade
CONCUR
2007
Springer
15 years 8 months ago
Temporal Antecedent Failure: Refining Vacuity
We re-examine vacuity in temporal logic model checking. We note two disturbing phenomena in recent results in this area. The first indicates that not all vacuities detected in prac...
Shoham Ben-David, Dana Fisman, Sitvanit Ruah
166
Voted
INTERSPEECH
2010
14 years 11 months ago
Hidden Markov models with context-sensitive observations for grapheme-to-phoneme conversion
Hidden Markov models (HMMs) have proven useful in various aspects of speech technology from automatic speech recognition through speech synthesis, speech segmentation and grapheme...
Udochukwu Kalu Ogbureke, Peter Cahill, Julie Carso...
122
Voted
WSC
2004
15 years 5 months ago
Modeling Information for Manufacturing-Oriented Supply-Chain Simulations
This paper discusses a new approach that facilitates the use of simulation in supply chain applications, especially for manufacturing-related activities. A neutral information rep...
Guixiu Qiao, Frank Riddick
IDA
2007
Springer
15 years 4 months ago
Second-order uncertainty calculations by using the imprecise Dirichlet model
Natural extension is a powerful tool for combining the expert judgments in the framework of imprecise probability theory. However, it assumes that every judgment is “true” and...
Lev V. Utkin