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» Learning programs from noisy data
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107
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ICCV
2009
IEEE
16 years 7 months ago
Automatic annotation of human actions in video
This paper addresses the problem of automatic temporal annotation of realistic human actions in video using mini- mal manual supervision. To this end we consider two asso- ciate...
Olivier Duchenne, Ivan Laptev, Josef Sivic, Franci...
139
Voted
ICDM
2010
IEEE
168views Data Mining» more  ICDM 2010»
15 years 18 days ago
Anomaly Detection Using an Ensemble of Feature Models
We present a new approach to semi-supervised anomaly detection. Given a set of training examples believed to come from the same distribution or class, the task is to learn a model ...
Keith Noto, Carla E. Brodley, Donna K. Slonim
140
Voted
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
16 years 3 months ago
Using retrieval measures to assess similarity in mining dynamic web clickstreams
While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...
Olfa Nasraoui, Cesar Cardona, Carlos Rojas
108
Voted
DAGSTUHL
2007
15 years 4 months ago
Parallel universes to improve the diagnosis of cardiac arrhythmias
arrhythmias (extended abstract) Elisa Fromont, Ren´e Quiniou, Marie-Odile Cordier We are interested in using parallel universes to learn interpretable models that can be subseque...
Élisa Fromont, Rene Quiniou, Marie-Odile Co...
164
Voted
PRL
2002
213views more  PRL 2002»
15 years 2 months ago
Character preclassification based on genetic programming
This paper presents a learning system that uses genetic programming as a tool for automatically inferring the set of classification rules to be used during a preclassification sta...
Claudio De Stefano, Antonio Della Cioppa, Angelo M...