11 search results - page 1 / 3 » Weakly-Supervised Hashing in Kernel Space |
CVPR
2010
IEEE
13 years 10 months ago
2010
IEEE
The explosive growth of the vision data motivates the recent studies on efficient data indexing methods such as locality-sensitive hashing (LSH). Most existing approaches perform...
ICPR
2006
IEEE
14 years 5 months ago
2006
IEEE
This paper presents a novel alternative approach, namely weakly supervised learning (WSL), to learn the pre-image of a feature vector in the feature space induced by a kernel. It ...
ICCV
2009
IEEE
14 years 9 months ago
2009
IEEE
Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
ICCV
2009
IEEE
14 years 9 months ago
2009
IEEE
Fast retrieval methods are critical for large-scale and
data-driven vision applications. Recent work has explored
ways to embed high-dimensional features or complex distance
fun...
KDD
2010
ACM
13 years 2 months ago
2010
ACM
Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...