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ENGL
2007
204views more  ENGL 2007»
13 years 7 months ago
Long-Term Prediction, Chaos and Artificial Neural Networks. Where is the Meeting Point?
—This paper presents the advances of a research using a combination of recurrent and feed-forward neural networks for long term prediction of chaotic time series. It is known tha...
Pilar Gómez-Gil
CVPR
2011
IEEE
12 years 11 months ago
Who are you with and where are you Going?
We propose an agent-based behavioral model of pedestrians to improve tracking performance in realistic scenarios. In this model, we view pedestrians as decision-making agents who ...
Kota Yamaguchi, Alexander Berg, Luis Ortiz, Tamara...
MM
2005
ACM
103views Multimedia» more  MM 2005»
14 years 1 months ago
My digital photos: where and when?
In recent years digital cameras have seen an enormous rise in popularity, leading to a huge increase in the quantity of digital photos being taken. This brings with it the challen...
Neil O'Hare, Cathal Gurrin, Hyowon Lee, Noel Murph...
ISSTA
2004
ACM
14 years 29 days ago
Where the bugs are
The ability to predict which files in a large software system are most likely to contain the largest numbers of faults in the next release can be a very valuable asset. To accomp...
Thomas J. Ostrand, Elaine J. Weyuker, Robert M. Be...
ECCV
2010
Springer
14 years 18 days ago
What, Where & How Many? Combining Object Detectors and CRFs
Abstract. Computer vision algorithms for individual tasks such as object recognition, detection and segmentation have shown impressive results in the recent past. The next challeng...