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142
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CVPR
2005
IEEE
16 years 6 months ago
Combining Object and Feature Dynamics in Probabilistic Tracking
Objects can exhibit different dynamics at different scales, and this is often exploited by visual tracking algorithms. A local dynamic model is typically used to extract image fea...
Leonid Taycher, John W. Fisher III, Trevor Darrell
BMCBI
2008
92views more  BMCBI 2008»
15 years 4 months ago
A semiparametric modeling framework for potential biomarker discovery and the development of metabonomic profiles
Background: The discovery of biomarkers is an important step towards the development of criteria for early diagnosis of disease status. Recently electrospray ionization (ESI) and ...
Samiran Ghosh, David F. Grant, Dipak K. Dey, Denni...
139
Voted
ICIP
2009
IEEE
16 years 5 months ago
Illumination Invariant And Rotational Insensitive Textural Representation
We propose an illumination invariant and rotation insensitive texture representation based on a Markovian textural model. A texture is aligned with its dominant orientation and te...
BMCBI
2006
119views more  BMCBI 2006»
15 years 4 months ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt
ICWE
2004
Springer
15 years 9 months ago
Getting Ready Web Engineering Methods for the Semantic Web
Current Web Engineering methods develop "closed" web applications from conceptual models. This fact makes difficult the integration and the interoperability of different ...
Victoria Torres, Joan Fons, Oscar Asensi, Vicente ...