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CVPR
2011
IEEE
14 years 4 months ago
Sparse Reconstruction Cost for Abnormal Event Detection
We propose to detect abnormal events via a sparse reconstruction over the normal bases. Given an over-complete normal basis set (e.g., an image sequence or a collection of local s...
Yang Cong, Junsong Yuan, Ji Liu
CCIA
2010
Springer
14 years 4 months ago
Learning Force-Based Robot Skills from Haptic Demonstration
Locally weighted as well as Gaussian mixtures learning algorithms are suitable strategies for trajectory learning and skill acquisition, in the context of programming by demonstrat...
Leonel Rozo, Pablo Jiménez, Carme Torras
SAC
2005
ACM
15 years 3 months ago
Learning decision trees from dynamic data streams
: This paper presents a system for induction of forest of functional trees from data streams able to detect concept drift. The Ultra Fast Forest of Trees (UFFT) is an incremental a...
João Gama, Pedro Medas, Pedro Pereira Rodri...
DKE
2007
153views more  DKE 2007»
14 years 9 months ago
Adaptive similarity search in streaming time series with sliding windows
The challenge in a database of evolving time series is to provide efficient algorithms and access methods for query processing, taking into consideration the fact that the databas...
Maria Kontaki, Apostolos N. Papadopoulos, Yannis M...
BMCBI
2007
144views more  BMCBI 2007»
14 years 9 months ago
InPrePPI: an integrated evaluation method based on genomic context for predicting protein-protein interactions in prokaryotic ge
Background: Although many genomic features have been used in the prediction of proteinprotein interactions (PPIs), frequently only one is used in a computational method. After rea...
Jingchun Sun, Yan Sun, Guohui Ding, Qi Liu, Chuan ...