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ECML
2006
Springer
15 years 8 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...
149
Voted
IPCV
2007
15 years 6 months ago
Tracking Multiple Sports Players for Mobile Display
- An architecture system and a method for tracking people are presented for sports applications. The system’s input is video data from static camera and the output is the real wo...
Andreas Aristidou, Paul Pangalos, Hamid Aghvami
DAGSTUHL
2003
15 years 6 months ago
Pattern Synthesis from Multiple Scenarios for Parameterized Real-Time UML Models
Abstract. The continuing trend towards more sophisticated technical applications results in an increasing demand for high quality software for complex, safety-critical systems. Des...
Holger Giese, Florian Klein, Sven Burmester
163
Voted
CORR
2008
Springer
104views Education» more  CORR 2008»
15 years 5 months ago
A Variational Inference Framework for Soft-In-Soft-Out Detection in Multiple Access Channels
We propose a unified framework for deriving and studying soft-in soft-out (SISO) detection in multiple-access channels using the concept of variational inference. The proposed fram...
Darryl Dexu Lin, Teng Joon Lim
124
Voted
BC
2006
80views more  BC 2006»
15 years 5 months ago
Sparse Spatial Sampling for the Computation of Motion in Multiple Stages
The avian retino-tecto-rotundal pathway plays a central role in motion analysis and features complex connectivity. Yet, the relation between the pathway's structural arrangeme...
Alireza S. Mahani, Reza Khanbabaie, Harald Luksch,...