173 search results - page 6 / 35 » Optimal Adaptive Learning for Image Retrieval |
ICPR
2000
IEEE
14 years 8 months ago
2000
IEEE
Probabilistic feature relevance learning (PFRL) is an effective technique for adaptively computing local feature relevance for content-based image retrieval. It however becomes le...
TIP
2010
13 years 6 months ago
2010
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...
SIGIR
2008
ACM
13 years 7 months ago
2008
ACM
We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...
CIKM
2009
Springer
14 years 2 months ago
2009
Springer
Relevance Feedback has proven very effective for improving retrieval accuracy. A difficult yet important problem in all relevance feedback methods is how to optimally balance the...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
We describe an algorithm for similar-image search which
is designed to be efficient for extremely large collections of
images. For each query, a small response set is selected by...