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Publication
240views
12 years 8 months ago
Bayesian multitask inverse reinforcement learning
We generalise the problem of inverse reinforcement learning to multiple tasks, from multiple demonstrations. Each one may represent one expert trying to solve a different task, or ...
Christos Dimitrakakis, Constantin A. Rothkopf
CVPR
2007
IEEE
15 years 5 days ago
Recognizing objects by piecing together the Segmentation Puzzle
We present an algorithm that recognizes objects of a given category using a small number of hand segmented images as references. Our method first over segments an input image into...
Jianbo Shi, Timothée Cour
ICDCS
2005
IEEE
14 years 3 months ago
Resource-Aware Distributed Stream Management Using Dynamic Overlays
We consider distributed applications that continuously stream data across the network, where data needs to be aggregated and processed to produce a 'useful' stream of up...
Vibhore Kumar, Brian F. Cooper, Zhongtang Cai, Gre...
BALT
2006
14 years 1 months ago
A Multiple Correspondence Analysis to Organize Data Cubes
Abstract. On Line Analytical Processing (OLAP) is a technology basically created to provide users with tools in order to explore and navigate into data cubes. Unfortunately, in hug...
Riadh Ben Messaoud, Omar Boussaid, Sabine Loudcher...
ANLP
1994
97views more  ANLP 1994»
13 years 11 months ago
Recycling Terms into a Partial Parser
Both full-text information retrieval and large scale parsing require text preprocessing to identify strong lexical associations in textual databases. In order to associate linguis...
Christian Jacquemin