78 search results - page 4 / 16 » Learning similarity measures in non-orthogonal space |
ICDM
2007
IEEE
15 years 3 months ago
2007
IEEE
Tree edit distance is one of the most frequently used distance measures for comparing trees. When using the tree edit distance, we need to determine the cost of each operation, bu...
CHI
1999
ACM
15 years 1 months ago
1999
ACM
Models of learning and performing by exploration assume that the semantic distance between task descriptions and screen labels controls in part the usersÕ search strategies. Neve...
DCC
2006
IEEE
15 years 9 months ago
2006
IEEE
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
104
click to vote
CVPR
2004
IEEE
15 years 11 months ago
2004
IEEE
This paper introduces BoostMap, a method that can significantly reduce retrieval time in image and video database systems that employ computationally expensive distance measures, ...
ISAAC
2005
Springer
15 years 2 months ago
2005
Springer
In this paper, we prove for the first time that the learning complexity of Rocchio’s algorithm is O(d+d2 (log d+log n)) over the discretized vector space {0, . . . , n − 1}d ,...