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IV
2010
IEEE
140views Visualization» more  IV 2010»
13 years 6 months ago
GVIS: An Integrating Infrastructure for Adaptively Mashing up User Data from Different Sources
In this article we present an infrastructure for creating mash up visual representations of the user profile that combines data from different sources. We explored this approach ...
Luca Mazzola, Riccardo Mazza
IDA
2009
Springer
13 years 5 months ago
Adaptive Learning from Evolving Data Streams
Albert Bifet, Ricard Gavaldà
ICCV
2011
IEEE
12 years 7 months ago
Incremental On-line Semi-supervised Learning for Segmenting the Left Ventricle of the Heart from Ultrasound Data
Recently, there has been an increasing interest in the investigation of statistical pattern recognition models for the fully automatic segmentation of the left ventricle (LV) of t...
Gustavo Carneiro, Jacinto C. Nascimento
KDD
1998
ACM
190views Data Mining» more  KDD 1998»
13 years 12 months ago
Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
R. Bharat Rao, Scott Rickard, Frans Coetzee
DICTA
2003
13 years 9 months ago
Learning Semantic Concepts from Visual Data Using Neural Networks
For content-based image retrieval techniques, query image is used to pick up and rank some relevant images from a database using some certain similarity metric. If semantic feature...
Xiaohang Ma, Dianhui Wang