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EMMCVPR
2011
Springer
12 years 7 months ago
Data-Driven Importance Distributions for Articulated Tracking
Abstract. We present two data-driven importance distributions for particle filterbased articulated tracking; one based on background subtraction, another on depth information. In ...
Søren Hauberg, Kim Steenstrup Pedersen
EMNLP
2008
13 years 9 months ago
Modeling Annotators: A Generative Approach to Learning from Annotator Rationales
A human annotator can provide hints to a machine learner by highlighting contextual "rationales" for each of his or her annotations (Zaidan et al., 2007). How can one ex...
Omar Zaidan, Jason Eisner
ISCAS
2006
IEEE
162views Hardware» more  ISCAS 2006»
14 years 1 months ago
Silicon neurons that phase-lock
Abstract—We present a silicon neuron with a dynamic, active leak that enables precise spike-timing with respect to a time-varying input signal. Our neuron models the mammalian bu...
J. H. Wittig Jr., Kwabena Boahen
BMCBI
2008
155views more  BMCBI 2008»
13 years 7 months ago
AMMOS: Automated Molecular Mechanics Optimization tool for in silico Screening
Background: Virtual or in silico ligand screening combined with other computational methods is one of the most promising methods to search for new lead compounds, thereby greatly ...
Tania Pencheva, David Lagorce, Ilza Pajeva, Bruno ...
BMCBI
2007
137views more  BMCBI 2007»
13 years 7 months ago
Bayesian refinement of protein functional site matching
Background: Matching functional sites is a key problem for the understanding of protein function and evolution. The commonly used graph theoretic approach, and other related appro...
Kanti V. Mardia, Vysaul B. Nyirongo, Peter J. Gree...