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ROBOCUP
2001
Springer
96views Robotics» more  ROBOCUP 2001»
14 years 2 months ago
Strategy Learning for a Team in Adversary Environments
Team strategy acquisition is one of the most important issues of multiagent systems, especially in an adversary environment. RoboCup has been providing such an environment for AI a...
Yasutake Takahashi, Takashi Tamura, Minoru Asada
PODC
1998
ACM
14 years 1 months ago
Persistent Messages in Local Transactions
: We present a new model for handling messages and state in a distributed application that we call Messages in Local Transactions (MLT). Under this model, messages and data are not...
David E. Lowell, Peter M. Chen
CVPR
2005
IEEE
14 years 11 months ago
Hybrid Models for Human Motion Recognition
Probabilistic models have been previously shown to be efficient and effective for modeling and recognition of human motion. In particular we focus on methods which represent the h...
Claudio Fanti, Lihi Zelnik-Manor, Pietro Perona
IFIP
2010
Springer
13 years 4 months ago
A Mixed Level Simulation Environment for Stepwise RTOS Software Refinement
Abstract. In this article, we present a flexible simulation environment for embedded real-time software refinement by a mixed level cosimulation. For this, ne the native speed of a...
Markus Becker, Henning Zabel, Wolfgang Müller...
CF
2010
ACM
14 years 1 months ago
Towards greener data centers with storage class memory: minimizing idle power waste through coarse-grain management in fine-grai
Studies have shown much of today’s data centers are over-provisioned and underutilized. Over-provisioning cannot be avoided as these centers must anticipate peak load with burst...
In Hwan Doh, Young Jin Kim, Jung Soo Park, Eunsam ...