SIGMOD
2004
ACM
14 years 4 months ago
2004
ACM
The detection of correlations between different features in a set of feature vectors is a very important data mining task because correlation indicates a dependency between the fe...
VLDB
2001
ACM
14 years 4 months ago
2001
ACM
Abstract. The optimized distance-based access methods currently available for multidimensional indexing in multimedia databases have been developed based on two major assumptions: ...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
Distance-based methods in machine learning and pattern recognition have to rely on a metric distance between points in the input space. Instead of specifying a metric a priori, we...
ICPR
2004
IEEE
14 years 5 months ago
2004
IEEE
In this paper we consider the problem of multi-object categorization. We present an algorithm that combines support vector machines with local features via a new class of Mercer k...
ICPR
2008
IEEE
14 years 5 months ago
2008
IEEE
In pattern recognition, feature vectors are occasionally subject to non-negative constraints. This characteristic can be expressed by a cone in feature vector space. In this paper...
ICPR
2008
IEEE
14 years 5 months ago
2008
IEEE
Multiple observation improves the performance of 3D object classification. However, since the distribution of feature vectors obtained from multiple view points have strong nonlin...
ICDE
2000
IEEE
14 years 5 months ago
2000
IEEE
In this paper, we develop and test an approach to retrieving images from an image database based on content similarity. First, each picture is divided into many overlapping region...
ICIP
2006
IEEE
14 years 6 months ago
2006
IEEE
In this paper, we present a novel texture classification algorithm inspired by the self-assembling behavior of real ants when building live structures with their bodies. The propo...
ECCV
2002
Springer
14 years 6 months ago
2002
Springer
This paper presents a geometric approach to recognizing smooth objects from their outlines. We define a signature function that associates feature vectors with objects and baseline...