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AAAI
2007
15 years 3 months ago
Learning Large Scale Common Sense Models of Everyday Life
Recent work has shown promise in using large, publicly available, hand-contributed commonsense databases as joint models that can be used to infer human state from day-to-day sens...
William Pentney, Matthai Philipose, Jeff A. Bilmes...
MSV
2007
15 years 2 months ago
FMC-QE: A New Approach in Quantitative Modeling
Abstract—Service requests are the origin of every service provisioning process and therefore the entities to be considered first. Similar to Physics and Engineering Sciences, ser...
Werner Zorn
110
Voted
AUTOMATICA
2004
112views more  AUTOMATICA 2004»
15 years 21 days ago
Ellipsoidal parameter or state estimation under model uncertainty
Ellipsoidal outer-bounding of the set of all feasible state vectors under model uncertainty is a natural extension of state estimation for deterministic models with unknown-but-bo...
Boris T. Polyak, Sergey A. Nazin, Cécile Du...
HICSS
2012
IEEE
346views Biometrics» more  HICSS 2012»
13 years 8 months ago
The Fundamental Concept of Unified Generalized Model and Data Representation for New Applications in the Future Grid
The concept of interoperability of data and model as presented in this paper is viewed as being very useful for implementing variety of future applications related to power system...
Mladen Kezunovic, Santiago Grijalva, Papiya Dutta,...
CVPR
2012
IEEE
13 years 3 months ago
Steerable part models
We describe a method for learning steerable deformable part models. Our models exploit the fact that part templates can be written as linear filter banks. We demonstrate that one...
Hamed Pirsiavash, Deva Ramanan