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ICDM
2007
IEEE
170views Data Mining» more  ICDM 2007»
15 years 4 months ago
Consensus Clusterings
In this paper we address the problem of combining multiple clusterings without access to the underlying features of the data. This process is known in the literature as clustering...
Nam Nguyen, Rich Caruana
CORR
2006
Springer
139views Education» more  CORR 2006»
14 years 10 months ago
Functional Brain Imaging with Multi-Objective Multi-Modal Evolutionary Optimization
Functional brain imaging is a source of spatio-temporal data mining problems. A new framework hybridizing multi-objective and multimodal optimization is proposed to formalize these...
Vojtech Krmicek, Michèle Sebag
ICMCS
2006
IEEE
234views Multimedia» more  ICMCS 2006»
15 years 4 months ago
Decentralized Multiple Camera Multiple Object Tracking
In this paper, we present a novel decentralized Bayesian framework using multiple collaborative cameras for robust and efficient multiple object tracking with significant and pe...
Wei Qu, Dan Schonfeld, Magdi A. Mohamed
EUROGP
2004
Springer
108views Optimization» more  EUROGP 2004»
15 years 3 months ago
Genetic Programming for Natural Language Parsing
Parsing and Tagging are very important tasks in Natural Language Processing. Parsing amounts to searching the correct combination of grammatical rules among those compatible with a...
Lourdes Araujo
ASAP
2004
IEEE
171views Hardware» more  ASAP 2004»
15 years 1 months ago
CHARMED: A Multi-Objective Co-Synthesis Framework for Multi-Mode Embedded Systems
In this paper, we present a modular co-synthesis framework called CHARMED that solves the problem of hardware-software co-synthesis of periodic, multi-mode, distributed, embedded ...
Vida Kianzad, Shuvra S. Bhattacharyya