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» From Statistics to Beliefs
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192
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ECCV
2008
Springer
16 years 8 months ago
Learning Spatial Context: Using Stuff to Find Things
The sliding window approach of detecting rigid objects (such as cars) is predicated on the belief that the object can be identified from the appearance in a small region around the...
Geremy Heitz, Daphne Koller
185
Voted
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
16 years 7 months ago
Real-time ranking with concept drift using expert advice
In many practical applications, one is interested in generating a ranked list of items using information mined from continuous streams of data. For example, in the context of comp...
Hila Becker, Marta Arias
282
Voted
VLDB
2002
ACM
168views Database» more  VLDB 2002»
16 years 7 months ago
Anatomy of a native XML base management system
Abstract. Several alternatives to manage large XML document collections exist, ranging from file systems over relational or other database systems to specifically tailored XML base...
Thorsten Fiebig, Sven Helmer, Carl-Christian Kanne...
CVPR
2010
IEEE
16 years 2 months ago
Efficient Piecewise Learning for Conditional Random Fields
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Karteek Alahari, Phil Torr
147
Voted
HICSS
2009
IEEE
122views Biometrics» more  HICSS 2009»
16 years 1 months ago
Impacts of Organizational Learning and Knowledge Transfer on Investment Decisions under Uncertainty
Investments in innovative technologies face uncertainties and are often made in stages. We develop a multi-period game-theoretical model where the potential of a new technology is...
Xianjun Geng, Lihui Lin, Andrew B. Whinston