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» Estimating the Probability of Approximate Matches
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IROS
2006
IEEE
136views Robotics» more  IROS 2006»
15 years 6 months ago
Adaptive Interacting Multiple Models applied on pedestrian tracking in car parks
— To address perception problems we must be able to track dynamics targets of the environment. An important issue of tracking is filtering problem in which estimates of the targ...
Julien Burlet, Olivier Aycard, Anne Spalanzani, Ch...
83
Voted
ICCV
2005
IEEE
15 years 6 months ago
Learning Models for Predicting Recognition Performance
This paper addresses one of the fundamental problems encountered in performance prediction for object recognition. In particular we address the problems related to estimation of s...
Rong Wang, Bir Bhanu
99
Voted
CVPR
1999
IEEE
15 years 5 months ago
A New Bayesian Framework for Object Recognition
We introduce an approach to feature-based object recognition, using maximum a posteriori (MAP) estimation under a Markov random field (MRF) model. This approach provides an effici...
Yuri Boykov, Daniel P. Huttenlocher
107
Voted
NN
1998
Springer
148views Neural Networks» more  NN 1998»
15 years 10 days ago
ARTMAP-IC and medical diagnosis: Instance counting and inconsistent cases
For complex database prediction problems such as medical diagnosis, the ARTMAP-IC neural network adds distributed prediction and category instance counting to the basic fuzzy ARTM...
Gail A. Carpenter, Natalya Markuzon
94
Voted
IJCV
2010
194views more  IJCV 2010»
14 years 11 months ago
Improving Bag-of-Features for Large Scale Image Search
This article improves recent methods for large scale image search. We first analyze the bag-of-features approach in the framework of approximate nearest neighbor search. This lea...
Herve Jegou, Matthijs Douze, Cordelia Schmid