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ICML
2002
IEEE
16 years 7 months ago
Learning to Share Distributed Probabilistic Beliefs
In this paper, we present a general machine learning approach to the problem of deciding when to share probabilistic beliefs between agents for distributed monitoring. Our approac...
Christopher Leckie, Kotagiri Ramamohanarao
ICCV
2009
IEEE
16 years 11 months ago
Active Appearance Models with Rotation Invariant Kernels
2D Active Appearance Models (AAM) and 3D Morphable Models (3DMM) are widely used techniques. AAM provide a fast fitting process, but may represent unwanted 3D transformations un...
Onur C. Hamsici, Aleix M. Martinez
MSWIM
2004
ACM
16 years 5 days ago
Detailed models for sensor network simulations and their impact on network performance
Recent trends in sensor network simulation can be divided between less flexible but accurate emulation based approach and more generic but less detailed network simulator models....
Maneesh Varshney, Rajive Bagrodia
MICCAI
2004
Springer
16 years 7 months ago
: Multi-subject Registration for Unbiased Statistical Atlas Construction
This paper introduces a new similarity measure designed to bring a population of segmented subjects into alignment in a common coordinate system. Our metric aligns each subject wit...
Mathieu De Craene, Aloys du Bois d'Aische, Beno&ic...
SIGIR
2000
ACM
15 years 11 months ago
Hierarchical classification of Web content
This paper explores the use of hierarchical structure for classifying a large, heterogeneous collection of web content. The hierarchical structure is initially used to train diffe...
Susan T. Dumais, Hao Chen