Sciweavers

540 search results - page 55 / 108
» Comparing distributions and shapes using the kernel distance
Sort
View
CVPR
2005
IEEE
16 years 2 months ago
Simultaneous Modeling and Tracking (SMAT) of Feature Sets
A novel method for the simultaneous modeling and tracking (SMAT) of a feature set during motion sequence is proposed. The method requires no prior information. Instead the a poste...
N. D. H. Dowson, Richard Bowden
BROADNETS
2006
IEEE
15 years 6 months ago
Sensor Localization and Camera Calibration in Distributed Camera Sensor Networks
— Camera sensors constitute an information rich sensing modality with many potential applications in sensor networks. Their effectiveness in a sensor network setting however grea...
Andrew Barton-Sweeney, Dimitrios Lymberopoulos, An...
86
Voted
CVPR
2010
IEEE
15 years 4 months ago
Lymph Node Detection in 3-D Chest CT using a Spatial Prior Probability
Lymph nodes have high clinical relevance but detection is challenging as they are hard to see due to low contrast and irregular shape. In this paper, a method for fully automatic ...
Johannes Feulner, Kevin Zhou, Martin Huber, Joachi...
NCA
2005
IEEE
15 years 6 months ago
Using Residual Times to Meet Deadlines in M/G/C Queues
In systems where customer service demands are only known probabilistically, there is very little to distinguish between jobs. Therefore, no universal optimum scheduling strategy o...
Sarah Tasneem, Lester Lipsky, Reda A. Ammar, Howar...
80
Voted
COLT
2007
Springer
15 years 6 months ago
Sketching Information Divergences
When comparing discrete probability distributions, natural measures of similarity are not p distances but rather are informationdivergences such as Kullback-Leibler and Hellinger. ...
Sudipto Guha, Piotr Indyk, Andrew McGregor