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» Being Sensitive to Uncertainty
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QEST
2010
IEEE
13 years 6 months ago
On the Theory of Stochastic Processors
Traditional architecture design approaches hide hardware uncertainties from the software stack through overdesign, which is often expensive in terms of power consumption. The recen...
Parasara Sridhar Duggirala, Sayan Mitra, Rakesh Ku...
NIPS
2004
13 years 9 months ago
Probabilistic Computation in Spiking Populations
As animals interact with their environments, they must constantly update estimates about their states. Bayesian models combine prior probabilities, a dynamical model and sensory e...
Richard S. Zemel, Quentin J. M. Huys, Rama Nataraj...
BMCBI
2010
108views more  BMCBI 2010»
13 years 8 months ago
An intuitionistic approach to scoring DNA sequences against transcription factor binding site motifs
Background: Transcription factors (TFs) control transcription by binding to specific regions of DNA called transcription factor binding sites (TFBSs). The identification of TFBSs ...
Fernando Garcia-Alcalde, Armando Blanco, Adrian J....
ICDE
2012
IEEE
277views Database» more  ICDE 2012»
11 years 10 months ago
Aggregate Query Answering on Possibilistic Data with Cardinality Constraints
— Uncertainties in data arise for a number of reasons: when the data set is incomplete, contains conflicting information or has been deliberately perturbed or coarsened to remov...
Graham Cormode, Divesh Srivastava, Entong Shen, Ti...
ICIP
2006
IEEE
14 years 9 months ago
Blur Robust and Color Constant Image Description
An important class of color constant image descriptors is based on image derivatives. These derivative-based image descriptors have a major drawback: they are sensitive to changes...
Joost van de Weijer, Cordelia Schmid