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» Structure learning of Bayesian networks using constraints
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NIPS
1998
15 years 5 months ago
SMEM Algorithm for Mixture Models
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Ge...
ICCV
2001
IEEE
16 years 6 months ago
Car Detection in Low Resolution Aerial Image
In this paper, we present a system to detect passenger cars in aerial images where car appears small. We post the detection as a 3D object recognition problem to account for the v...
Tao Zhao, Ramakant Nevatia
SEMWEB
2005
Springer
15 years 10 months ago
OMEN: A Probabilistic Ontology Mapping Tool
Abstract. Most existing ontology mapping tools do not provide exact mappings. Rather, there is usually some degree of uncertainty. We describe a framework to improve existing ontol...
Prasenjit Mitra, Natasha F. Noy, Anuj R. Jaiswal
TOG
2010
157views more  TOG 2010»
14 years 11 months ago
Computer-generated residential building layouts
We present a method for automated generation of building layouts for computer graphics applications. Our approach is motivated by the layout design process developed in architectu...
Paul Merrell, Eric Schkufza, Vladlen Koltun
EUROSYS
2007
ACM
16 years 1 months ago
Macroprogramming heterogeneous sensor networks using cosmos
In this paper, we present COSMOS, a novel architecture for macroprogramming heterogeneous sensor network systems. Macroprogramming entails aggregate system behavior specification...
Asad Awan, Suresh Jagannathan, Ananth Grama