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CVPR
1999
IEEE
15 years 10 months ago
A New Bayesian Framework for Object Recognition
We introduce an approach to feature-based object recognition, using maximum a posteriori (MAP) estimation under a Markov random field (MRF) model. This approach provides an effici...
Yuri Boykov, Daniel P. Huttenlocher
CPM
1999
Springer
92views Combinatorics» more  CPM 1999»
15 years 10 months ago
Physical Mapping with Repeated Probes: The Hypergraph Superstring Problem
We focus on the combinatorial analysis of physical mapping with repeated probes. We present computational complexity results, and we describe and analyze an algorithmic strategy. W...
Serafim Batzoglou, Sorin Istrail
SIGMOD
1998
ACM
150views Database» more  SIGMOD 1998»
15 years 10 months ago
Extracting Schema from Semistructured Data
Semistructured data is characterized by the lack of any fixed and rigid schema, although typically the data hassomeimplicitstructure. While thelack offixedschemamakesextracting ...
Svetlozar Nestorov, Serge Abiteboul, Rajeev Motwan...
ECML
1993
Springer
15 years 10 months ago
Complexity Dimensions and Learnability
In machine learning theory, problem classes are distinguished because of di erences in complexity. In 6 , a stochastic model of learning from examples was introduced. This PAClear...
Shan-Hwei Nienhuys-Cheng, Mark Polman
ATAL
2006
Springer
15 years 10 months ago
Agent interaction in distributed POMDPs and its implications on complexity
The ability to coordinate effectively is critical for agents to accomplish their goals in a multi-agent system. A number of researchers have modeled the coordination problem for m...
Jiaying Shen, Raphen Becker, Victor R. Lesser