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126
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ICCV
2005
IEEE
15 years 9 months ago
KALMANSAC: Robust Filtering by Consensus
We propose an algorithm to perform causal inference of the state of a dynamical model when the measurements are corrupted by outliers. While the optimal (maximumlikelihood) soluti...
Andrea Vedaldi, Hailin Jin, Paolo Favaro, Stefano ...
143
Voted
SIGIR
2006
ACM
15 years 9 months ago
Unifying user-based and item-based collaborative filtering approaches by similarity fusion
Memory-based methods for collaborative filtering predict new ratings by averaging (weighted) ratings between, respectively, pairs of similar users or items. In practice, a large ...
Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders
127
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FORMATS
2009
Springer
15 years 10 months ago
Exploiting Timed Automata for Conformance Testing of Power Measurements
For software development, testing is still the primary choice for investigating the correctness of a system. Automated testing is of utmost importance to support continuous integra...
Matthias Woehrle, Kai Lampka, Lothar Thiele
137
Voted
BIOINFORMATICS
2010
138views more  BIOINFORMATICS 2010»
15 years 3 months ago
Robust unmixing of tumor states in array comparative genomic hybridization data
Motivation: Tumorigenesis is an evolutionary process by which tumor cells acquire sequences of mutations leading to increased growth, invasiveness, and eventually metastasis. It i...
David Tolliver, Charalampos E. Tsourakakis, Ayshwa...
141
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HUC
2011
Springer
14 years 3 months ago
The social fMRI: measuring, understanding, and designing social mechanisms in the real world
A key challenge of data-driven social science is the gathering of high quality multi-dimensional datasets. A second challenge relates to design and execution of structured experim...
Nadav Aharony, Wei Pan, Cory Ip, Inas Khayal, Alex...