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» Feature Markov Decision Processes
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132
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ICVS
2001
Springer
15 years 5 months ago
Adapting Object Recognition across Domains: A Demonstration
High-level vision systems use object, scene or domain specific knowledge to interpret images. Unfortunately, this knowledge has to be acquired for every domain. This makes it diffi...
Bruce A. Draper, Ulrike Ahlrichs, Dietrich Paulus
70
Voted
NIPS
2004
15 years 2 months ago
A Cost-Shaping LP for Bellman Error Minimization with Performance Guarantees
We introduce a new algorithm based on linear programming that approximates the differential value function of an average-cost Markov decision process via a linear combination of p...
Daniela Pucci de Farias, Benjamin Van Roy
102
Voted
EUROPKI
2004
Springer
15 years 6 months ago
A Probabilistic Model for Evaluating the Operational Cost of PKI-based Financial Transactions
The use of PKI in large scale environments suffers some inherent problems concerning the options to adopt for the optimal cost-centered operation of the system. In this paper a Mar...
Agapios N. Platis, Costas Lambrinoudakis, Assimaki...
110
Voted
ICASSP
2009
IEEE
15 years 7 months ago
Voronoi cell shaping for feature selection with discrete HMMs
In this paper, we introduce a novel vector quantization (VQ) scheme for distributing the quantization error equally among the quantized dimensions. Afterwards, the proposed VQ sch...
Joachim Schenk, Gerhard Rigoll
77
Voted
IJCAI
1997
15 years 2 months ago
Aggregating Features and Matching Cases on Vague Linguistic Expressions
Decision making based on the comparison of multiple criteria of two or more alternatives, is the subject of intensive research. In many decision making situations, a single criter...
Alfons Schuster, Werner Dubitzky, Philippe Lopes, ...