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ICTAI
2010
IEEE
13 years 5 months ago
Unsupervised Greedy Learning of Finite Mixture Models
This work deals with a new technique for the estimation of the parameters and number of components in a finite mixture model. The learning procedure is performed by means of a expe...
Nicola Greggio, Alexandre Bernardino, Cecilia Lasc...
IJWMC
2010
115views more  IJWMC 2010»
13 years 5 months ago
Small-world effects in wireless agent sensor networks
Coverage, fault tolerance and power consumption constraints make optimal placement of mobile sensors or other mobile agents a hard problem. We have developed a model for describin...
Kenneth A. Hawick, Heath A. James
CVPR
2011
IEEE
13 years 3 months ago
Learning Context for Collective Activity Recognition
In this paper we present a framework for the recognition of collective human activities. A collective activity is defined or reinforced by the existence of coherent behavior of i...
Wongun Choi, Silvio Savarese, Khuram Shahid
CDC
2010
IEEE
128views Control Systems» more  CDC 2010»
13 years 3 months ago
Greedy sensor selection: Leveraging submodularity
ACT We consider the problem of sensor selection in resource constrained sensor networks. The fusion center selects a subset of k sensors from an available pool of m sensors accordi...
Manohar Shamaiah, Siddhartha Banerjee, Haris Vikal...
CDC
2010
IEEE
163views Control Systems» more  CDC 2010»
13 years 3 months ago
A projection framework for near-potential games
Potential games are a special class of games that admit tractable static and dynamic analysis. Intuitively, games that are "close" to a potential game should enjoy somewh...
Ozan Candogan, Asuman E. Ozdaglar, Pablo A. Parril...