Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract and label a personās activities and signiļ¬...
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract a personās activities and signiļ¬cant plac...
We present a novel framework for recognizing repetitive
sequential events performed by human actors with strong
temporal dependencies and potential parallel overlap. Our
solutio...
This paper presents a new algorithm based on boosting for interactive object retrieval in images. Recent works propose āonline boostingā algorithms where weak classiļ¬er sets...
Alexis Lechervy, Philippe Henri Gosselin, Frederic...
We present a structured output prediction approach for classifying potential anti-cancer drugs. Our QSAR model takes as input a description of a molecule and predicts the activity...