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DSP
2006
13 years 10 months ago
Adaptive multi-modality sensor scheduling for detection and tracking of smart targets
This paper considers the problem of sensor scheduling for the purposes of detection and tracking of "smart" targets. Smart targets are targets that can detect when they ...
Christopher M. Kreucher, Doron Blatt, Alfred O. He...
IJCSA
2008
102views more  IJCSA 2008»
13 years 10 months ago
New Information and Communication Technologies for the Teaching of Computer Graphic Design
Within the computer aided design (CAD) teaching framework, new information and communication technologies (ICT's) are being set through new tools and methodological changes: ...
G. del Rio-Cidoncha, J. Martinez-Palacios, E. Mart...
GPEM
2006
82views more  GPEM 2006»
13 years 10 months ago
Shortcomings with using edge encodings to represent graph structures
There are various representations for encoding graph structures, such as artificial neural networks (ANNs) and circuits, each with its own strengths and weaknesses. Here we analyz...
Gregory Hornby
IJCIA
2006
88views more  IJCIA 2006»
13 years 10 months ago
Multi-Learner Based Recursive Supervised Training
In this paper, we propose the Multi-Learner Based Recursive Supervised Training (MLRT) algorithm which uses the existing framework of recursive task decomposition, by training the...
Laxmi R. Iyer, Kiruthika Ramanathan, Sheng Uei Gua...
JCP
2006
118views more  JCP 2006»
13 years 10 months ago
Learning a Classification-based Glioma Growth Model Using MRI Data
Gliomas are malignant brain tumors that grow by invading adjacent tissue. We propose and evaluate a 3D classification-based growth model, CDM, that predicts how a glioma will grow ...
Marianne Morris, Russell Greiner, Jörg Sander...