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» On an Optimization Problem in Sensor Selection*
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GECCO
2003
Springer
113views Optimization» more  GECCO 2003»
15 years 3 months ago
The Effect of Binary Matching Rules in Negative Selection
Negative selection algorithm is one of the most widely used techniques in the field of artificial immune systems. It is primarily used to detect changes in data/behavior patterns...
Fabio A. González, Dipankar Dasgupta, Jonat...
MCS
2010
Springer
14 years 8 months ago
A Support Kernel Machine for Supervised Selective Combining of Diverse Pattern-Recognition Modalities
Abstract. The Support Kernel Machine (SKM) and the Relevance Kernel Machine (RKM) are two principles for selectively combining objectrepresentation modalities of different kinds b...
Alexander Tatarchuk, Eugene Urlov, Vadim Mottl, Da...
PAMI
2010
132views more  PAMI 2010»
14 years 8 months ago
Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters
—Adapting the hyperparameters of support vector machines (SVMs) is a challenging model selection problem, especially when flexible kernels are to be adapted and data are scarce....
Tobias Glasmachers, Christian Igel
GLOBECOM
2009
IEEE
15 years 4 months ago
Accelerating Initialization for Sensor Networks
—Initialization is an indispensable process for wireless sensor networks since newly deployed sensors lack a reliable infrastructure for communication. Many efforts have been mad...
Linghe Kong, Luoyi Fu, Xuemei Liu, Min-You Wu
CDC
2008
IEEE
168views Control Systems» more  CDC 2008»
15 years 4 months ago
An information-driven framework for motion planning in robotic sensor networks: Complexity and experiments
Abstract— A geometric optimization based approach to deploy a mobile sensor network for the purpose of detecting and capturing mobile targets in the plane is presented in [1]. Th...
Rafael Fierro, Silvia Ferrari, Chenghui Cai