123 search results - page 1 / 25 » Incorporating Prior Knowledge into SVM for Image Retrieval |
ICPR
2004
IEEE
14 years 5 months ago
2004
IEEE
SVM based image retrieval suffers from the scarcity of labelled samples. In this paper, this problem is solved by incorporating prior knowledge into SVM. Firstly, some prior knowl...
CVPR
2006
IEEE
14 years 6 months ago
2006
IEEE
In this paper we discuss object detection when only a small number of training examples are given. Specifically, we show how to incorporate a simple prior on the distribution of n...
KDD
2004
ACM
13 years 10 months ago
2004
ACM
Like many purely data-driven machine learning methods, Support Vector Machine (SVM) classifiers are learned exclusively from the evidence presented in the training dataset; thus ...
CVPR
2003
IEEE
14 years 6 months ago
2003
IEEE
The performance of image retrieval with SVM active learning is known to be poor when started with few labelled images only. In this paper, the problem is solved by incorporating t...
PRL
2006
13 years 4 months ago
2006
This paper presents a general method for incorporating prior knowledge into kernel methods such as Support Vector Machines. It applies when the prior knowledge can be formalized b...