BMVC
2010
13 years 10 months ago
2010
Gaussian processes have been widely used as a method for inferring the pose of articulated bodies directly from image data. While able to model complex non-linear functions, they ...
PR
2006
14 years 11 days ago
2006
Nearest neighbour search is a widely used technique in pattern recognition. During the last three decades a large number of fast algorithms have been proposed. In this work we are...
IBPRIA
2007
Springer
14 years 4 months ago
2007
Springer
This paper presents a non parametric method for classifying interactions between two people as taken from a video camera. A nearest neighbour classifier that uses trajectory matchi...
EWCBR
2004
Springer
14 years 5 months ago
2004
Springer
This paper is based on the observation that the nearest neighbour in a case-based prediction system may not be the best case to explain a prediction. This observation is based on t...
EUROPAR
2007
Springer
14 years 6 months ago
2007
Springer
In this paper we describe the parallelization of two nearest neighbour classification algorithms. Nearest neighbour methods are well-known machine learning techniques. They have be...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
We present a tree data structure for fast
nearest neighbor operations in general n-
point metric spaces (where the data set con-
sists of n points). The data structure re-
quir...
Publication
We consider the computational problem of finding nearest neighbors in general metric spaces. Of particular interest are spaces that may not be conveniently embedded or approximate...
CVPR
1997
IEEE
15 years 2 months ago
1997
IEEE
Shape indexing is a way of making rapid associations between features detected in an image and object models that could have produced them. When model databases are large, the use...