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» A theoretical framework for multiple neural network systems
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DMSN
2010
ACM
13 years 8 months ago
PAO: power-efficient attribution of outliers in wireless sensor networks
Sensor nodes constitute inexpensive, disposable devices that are often scattered in harsh environments of interest so as to collect and communicate desired measurements of monitor...
Nikos Giatrakos, Yannis Kotidis, Antonios Deligian...
ACMSE
2010
ACM
13 years 5 months ago
Dissemination and presentation of high resolution air pollution data from mobile sensor nodes
This paper presents the framework of a mobile air quality monitoring network, with an in-depth discussion of several new innovative techniques for web-based visualization. These t...
Will Hedgecock, Péter Völgyesi, &Aacut...
NEUROSCIENCE
2001
Springer
14 years 4 days ago
Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
Doina Caragea, Adrian Silvescu, Vasant Honavar
CVPR
2006
IEEE
14 years 9 months ago
Context and Hierarchy in a Probabilistic Image Model
It is widely conjectured that the excellent ROC performance of biological vision systems is due in large part to the exploitation of context at each of many levels in a part/whole...
Ya Jin, Stuart Geman
ICDM
2010
IEEE
264views Data Mining» more  ICDM 2010»
13 years 5 months ago
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
Kamalika Das, Ashok N. Srivastava