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ECCV
2006
Springer
16 years 8 months ago
Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition
Abstract. In this paper we investigate a new method of learning partbased models for visual object recognition, from training data that only provides information about class member...
David J. Crandall, Daniel P. Huttenlocher
COORDINATION
2004
Springer
16 years 3 days ago
Probabilistic and Prioritized Data Retrieval in the Linda Coordination Model
Linda tuple spaces are flat and unstructured, in the sense that they do not allow for expressing preferences of tuples; for example, we could be interested in indicating tuples th...
Mario Bravetti, Roberto Gorrieri, Roberto Lucchi, ...
ICASSP
2011
IEEE
14 years 10 months ago
A Bernoulli-Gaussian model for gene factor analysis
This paper investigates a Bayesian model and a Markov chain Monte Carlo (MCMC) algorithm for gene factor analysis. Each sample in the dataset is decomposed as a linear combination...
Cecile Bazot, Nicolas Dobigeon, Jean-Yves Tournere...
ICDE
2008
IEEE
301views Database» more  ICDE 2008»
16 years 8 months ago
A Hybrid Prediction Model for Moving Objects
Existing prediction methods in moving objects databases cannot forecast locations accurately if the query time is far away from the current time. Even for near future prediction, m...
Hoyoung Jeung, Qing Liu, Heng Tao Shen, Xiaofang Z...
BIOSYSTEMS
2007
64views more  BIOSYSTEMS 2007»
15 years 6 months ago
Modelling the early steps of transduction in insect olfactory receptor neurons
Olfactory transduction is a multistep process whose basic function is to convert a low energy reaction, the odorant-receptor interaction that may involve a single odorant molecule...
Jean-Pierre Rospars, Philippe Lucas, Mathieu Coppe...