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ICCV
2009
IEEE
16 years 11 months ago
Unlabeled data improves word prediction
Labeling image collections is a tedious task, especially when multiple labels have to be chosen for each image. In this paper we introduce a new framework that extends state of ...
Nicolas Loeff, Ali Farhadi, Ian Endres and David A...
ICFP
2007
ACM
16 years 6 months ago
Inductive reasoning about effectful data types
We present a pair of reasoning principles, definition and proof by rigid induction, which can be seen as proper generalizations of lazy-datatype induction to monadic effects other...
Andrzej Filinski, Kristian Støvring
AAAI
2007
15 years 9 months ago
Topological Mapping with Weak Sensory Data
In this paper, we consider the exploration of topological environments by a robot with weak sensory capabilities. We assume only that the robot can recognize when it has reached a...
Gregory Dudek, Dimitri Marinakis
NIPS
2007
15 years 8 months ago
Active Preference Learning with Discrete Choice Data
We propose an active learning algorithm that learns a continuous valuation model from discrete preferences. The algorithm automatically decides what items are best presented to an...
Eric Brochu, Nando de Freitas, Abhijeet Ghosh
WSC
1998
15 years 8 months ago
High Level Architecture Remote Data Filtering
The current structure of the High Level Architecture (HLA) puts a tremendous burden on network load and CPU utilization for large distributed simulations due to its limited contro...
William S. Murphy Jr., Galen D. Aswegen