476 search results - page 32 / 96 » Learning a Distance Metric from Relative Comparisons |
STOC
2005
ACM
14 years 9 months ago
2005
ACM
A low-distortion embedding between two metric spaces is a mapping which preserves the distances between each pair of points, up to a small factor called distortion. Low-distortion...
ICPR
2010
IEEE
13 years 7 months ago
2010
IEEE
Documents in many corpora, such as digital libraries and webpages, contain both content and link information. In a traditional topic model which plays an important role in the uns...
SSPR
2010
Springer
13 years 7 months ago
2010
Springer
The aim of this paper is to find an answer to the question: What is the difference between dissimilarity-based classifications(DBCs) and other kernelbased classifications(KBCs)?...
AI
1998
Springer
14 years 1 months ago
1998
Springer
This paper presents and evaluates sequential instance-based learning (SIBL), an approach to action selection based upon data gleaned from prior problem solving experiences. SIBL le...
ICCV
2007
IEEE
14 years 11 months ago
2007
IEEE
The k-nearest neighbour (kNN) rule is a simple and effective method for multi-way classification that is much used in Computer Vision. However, its performance depends heavily on ...