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» Model Combination for Machine Translation
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134
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ICML
2006
IEEE
16 years 3 months ago
Combining discriminative features to infer complex trajectories
We propose a new model for the probabilistic estimation of continuous state variables from a sequence of observations, such as tracking the position of an object in video. This ma...
David A. Ross, Simon Osindero, Richard S. Zemel
ECML
2005
Springer
15 years 8 months ago
Error-Sensitive Grading for Model Combination
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
Surendra K. Singhi, Huan Liu
ACCV
2009
Springer
15 years 6 months ago
Efficient Classification of Images with Taxonomies
We study the problem of classifying images into a given, pre-determined taxonomy. The task can be elegantly translated into the structured learning framework. Structured learning, ...
Alexander Binder, Motoaki Kawanabe, Ulf Brefeld
129
Voted
SAC
2006
ACM
15 years 2 months ago
Transformation of B specifications into UML class diagrams and state machines
We propose a rule-based approach for transforming B abstract machines into UML diagrams. We believe that important insight into the structure underlying a B model can be gained by...
Houda Fekih, Leila Jemni Ben Ayed, Stephan Merz
160
Voted
SIGMETRICS
1996
ACM
174views Hardware» more  SIGMETRICS 1996»
15 years 6 months ago
Embra: Fast and Flexible Machine Simulation
This paper describes Embra, a simulator for the processors, caches, and memory systems of uniprocessors and cache-coherent multiprocessors. When running as part of the SimOS simul...
Emmett Witchel, Mendel Rosenblum