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» Combining Outputs from Multiple Machine Translation Systems
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ISNN
2005
Springer
15 years 3 months ago
Content Based Retrieval and Classification of Cultural Relic Images
In this paper we present a novel system for content-based retrieval and classification of cultural relic images. First, the images are normalized to achieve rotation, translation a...
Na Wei, M. Emre Celebi, Guohua Geng
LOCA
2005
Springer
15 years 3 months ago
The COMPASS Location System
The aim of COMPASS (short for COM mon Positioning Architecture for Several Sensors) is to realize a location infrastructure which can make use of a multitude of different sensors,...
Frank Kargl, Alexander Bernauer
ICML
1998
IEEE
15 years 10 months ago
RL-TOPS: An Architecture for Modularity and Re-Use in Reinforcement Learning
This paper introduces the RL-TOPs architecture for robot learning, a hybrid system combining teleo-reactive planning and reinforcement learning techniques. The aim of this system ...
Malcolm R. K. Ryan, Mark D. Pendrith
171
Voted
POPL
2008
ACM
15 years 10 months ago
Boomerang: resourceful lenses for string data
A lens is a bidirectional program. When read from left to right, it denotes an ordinary function that maps inputs to outputs. When read from right to left, it denotes an "upd...
Aaron Bohannon, J. Nathan Foster, Benjamin C. Pier...
83
Voted
HYBRID
2010
Springer
15 years 4 months ago
Real-time scheduling of mixture-of-experts systems with limited resources
Mixture-of-Experts (MoE) systems solve intricate problems by combining results generated independently by multiple computational models (the “experts”). Given an instance of a...
Prapaporn Rattanatamrong, José A. B. Fortes