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CSCW
2012
ACM
12 years 5 months ago
Collaboratively crowdsourcing workflows with turkomatic
Preparing complex jobs for crowdsourcing marketplaces requires careful attention to workflow design, the process of decomposing jobs into multiple tasks, which are solved by multi...
Anand Pramod Kulkarni, Matthew Can, Björn Har...
GECCO
2005
Springer
228views Optimization» more  GECCO 2005»
14 years 3 months ago
An effective use of crowding distance in multiobjective particle swarm optimization
In this paper, we present an approach that extends the Particle Swarm Optimization (PSO) algorithm to handle multiobjective optimization problems by incorporating the mechanism of...
Carlo R. Raquel, Prospero C. Naval Jr.
CVPR
2006
IEEE
14 years 12 months ago
Counting Crowded Moving Objects
In its full generality, motion analysis of crowded objects necessitates recognition and segmentation of each moving entity. The difficulty of these tasks increases considerably wi...
Vincent Rabaud, Serge Belongie
ICRA
2003
IEEE
231views Robotics» more  ICRA 2003»
14 years 3 months ago
Online simultaneous localization and mapping with detection and tracking of moving objects: theory and results from a ground veh
−−−− The simultaneous localization and mapping (SLAM) with detection and tracking of moving objects (DATMO) problem is not only to solve the SLAM problem in dynamic environ...
Chieh-Chih Wang, Charles E. Thorpe, Sebastian Thru...
LREC
2010
213views Education» more  LREC 2010»
13 years 11 months ago
Active Learning and Crowd-Sourcing for Machine Translation
In recent years, corpus based approaches to machine translation have become predominant, with Statistical Machine Translation (SMT) being the most actively progressing area. Succe...
Vamshi Ambati, Stephan Vogel, Jaime G. Carbonell