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ECML
2006
Springer
15 years 10 months ago
Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
Corneliu Henegar, Karine Clément, Jean-Dani...
JAIR
1998
198views more  JAIR 1998»
15 years 6 months ago
Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
Alberto Ruiz, Pedro E. López-de-Teruel, M. ...
ISVC
2010
Springer
15 years 4 months ago
Computer-Generated Tie-Dyeing Using a 3D Diffusion Graph
Abstract. Hand dyeing generates artistic representations with unique and complex patterns. The aesthetics of dyed patterns on a cloth originate from the physical properties of dyei...
Yuki Morimoto, Kenji Ono
SCIENTOMETRICS
2010
131views more  SCIENTOMETRICS 2010»
15 years 1 months ago
Academic team formation as evolving hypergraphs
This paper quantitatively explores the social and socio-semantic patterns of constitution of academic collaboration teams. To this end, we broadly underline two critical features ...
Carla Taramasco, Jean-Philippe Cointet, Camille Ro...
ICIP
2007
IEEE
16 years 8 months ago
Fundamental Matrix Estimation Without Prior Match
This paper presents a probabilistic framework for computing correspondences and fundamental matrix in the structure from motion problem. Inspired by Moisan and Stival [1], we sugg...
Frédéric Sur, Marie-Odile Berger, Ni...