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» Bayesian Structure from Motion
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DCOSS
2007
Springer
15 years 9 months ago
Separating the Wheat from the Chaff: Practical Anomaly Detection Schemes in Ecological Applications of Distributed Sensor Networ
Abstract. We develop a practical, distributed algorithm to detect events, identify measurement errors, and infer missing readings in ecological applications of wireless sensor netw...
Luís M. A. Bettencourt, Aric A. Hagberg, Le...
BMCBI
2007
102views more  BMCBI 2007»
15 years 3 months ago
FlexOracle: predicting flexible hinges by identification of stable domains
Background: Protein motions play an essential role in catalysis and protein-ligand interactions, but are difficult to observe directly. A substantial fraction of protein motions i...
Samuel Flores, Mark Gerstein
ICRA
2009
IEEE
96views Robotics» more  ICRA 2009»
15 years 10 months ago
Harnessing bacterial power in microscale actuation
— This paper presents a systematic analysis of the motion of microscale structures actuated by flagellated bacteria. We perform the study both experimentally and theoretically. ...
A. Agung Julius, M. Selman Sakar, Edward Steager, ...
122
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ICML
2004
IEEE
16 years 4 months ago
Large margin hierarchical classification
We present an algorithmic framework for supervised classification learning where the set of labels is organized in a predefined hierarchical structure. This structure is encoded b...
Ofer Dekel, Joseph Keshet, Yoram Singer
CVPR
2010
IEEE
15 years 1 months ago
Multi-structure model selection via kernel optimisation
Our goal is to fit the multiple instances (or structures) of a generic model existing in data. Here we propose a novel model selection scheme to estimate the number of genuine str...
Tat-Jun Chin, David Suter, Hanzi Wang