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ICML
2010
IEEE
15 years 5 months ago
Bottom-Up Learning of Markov Network Structure
The structure of a Markov network is typically learned using top-down search. At each step, the search specializes a feature by conjoining it to the variable or feature that most ...
Jesse Davis, Pedro Domingos
ACCV
2010
Springer
15 years 5 months ago
Efficient Large-Scale Stereo Matching
ACCV In this paper we propose a novel approach to binocular stereo for fast matching of high-resolution images. Our approach builds a prior on the disparities by forming a ...
Andreas Geiger, Martin Roser and Raquel Urtasun
HICSS
2010
IEEE
227views Biometrics» more  HICSS 2010»
15 years 4 months ago
Business Value Creation through Business Processes Management and Operational Business Intelligence Integration
Current approaches to Business Process Management (BPM) and Operational Business Intelligence (BI) integration have been very limited and simply reduced to the problem of technica...
Olivera Marjanovic
ICASSP
2010
IEEE
15 years 4 months ago
Variational nonparametric Bayesian Hidden Markov Model
The Hidden Markov Model (HMM) has been widely used in many applications such as speech recognition. A common challenge for applying the classical HMM is to determine the structure...
Nan Ding, Zhijian Ou
AO
2007
77views more  AO 2007»
15 years 4 months ago
A precise model for contextual roles: The programming language ObjectTeams/Java
A number of proposals exist how to support the concept of roles at the level of programming languages. While some of these proposals indeed exhibit very promising properties, the c...
Stephan Herrmann