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NPL
2011
14 years 5 months ago
A Neural Network Scheme for Long-Term Forecasting of Chaotic Time Series
The accuracy of a model to forecast a time series diminishes as the prediction horizon increases, in particular when the prediction is carried out recursively. Such decay is faster...
Pilar Gómez-Gil, Juan Manuel Ramírez...

Publication
336views
13 years 7 months ago
Feature Mining for Localised Crowd Counting
This paper presents a multi-output regression model for crowd counting in public scenes. Existing counting by regression methods either learn a single model for global counting, or...
Ke Chen, Chen Change Loy, Shaogang Gong, Tao Xiang...
138
Voted
JMLR
2008
151views more  JMLR 2008»
15 years 2 months ago
Learning to Combine Motor Primitives Via Greedy Additive Regression
The computational complexities arising in motor control can be ameliorated through the use of a library of motor synergies. We present a new model, referred to as the Greedy Addit...
Manu Chhabra, Robert A. Jacobs
CVPR
2011
IEEE
14 years 6 months ago
Tag Localization with Spatial Correlations and Joint Group Sparsity
Nowadays numerous social images have been emerging on the Web. How to precisely label these images is critical to image retrieval. However, traditional image-level tagging methods...
Yang Yang, Yi Yang, Zi Huang, Heng Tao Shen, Feipi...
109
Voted
CGA
2008
15 years 2 months ago
Interactive Reconfiguration of Urban Layouts
The ability to create and edit a model of a large-scale city is necessary for a variety of applications such as web-based navigation (e.g., MapQuest, GoogleEarth), emergency respo...
Daniel G. Aliaga, Bedrich Benes, Carlos A. Vanegas...