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» A Quality Model for Evaluating Feature Models
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ICASSP
2011
IEEE
14 years 3 months ago
Multi-class Model M
Model M, a novel class-based exponential language model, has been shown to significantly outperform word n-gram models in state-of-the-art machine translation and speech recognit...
Ahmad Emami, Stanley F. Chen
DAGM
2006
Springer
15 years 3 months ago
Linear vs. Nonlinear Feature Combination for Saliency Computation: A Comparison with Human Vision
In the heart of the computer model of visual attention, an interest or saliency map is derived from an input image in a process that encompasses several data combination steps. Whi...
Nabil Ouerhani, Alexandre Bur, Heinz Hügli
BMCBI
2004
208views more  BMCBI 2004»
14 years 11 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
CORR
2010
Springer
166views Education» more  CORR 2010»
15 years 5 hour ago
Software Metrics Evaluation Based on Entropy
Abstract. Software engineering activities in the Industry has come a long way with various improvements brought in various stages of the software development life cycle. The comple...
R. Selvarani, T. R. Gopalakrishnan Nair, Muthu Ram...
CIVR
2007
Springer
231views Image Analysis» more  CIVR 2007»
15 years 6 months ago
Classification of video events using 4-dimensional time-compressed motion features
Among the various types of semantic concepts modeled, events pose the greatest challenge in terms of computational power needed to represent the event and accuracy that can be ach...
Alexander Haubold, Milind R. Naphade