10 search results - page 2 / 2 » Learning Globally-Consistent Local Distance Functions for Sh... |
ICIAP
2009
ACM
14 years 5 months ago
2009
ACM
Abstract. Score functions induced by generative models extract fixeddimensions feature vectors from different-length data observations by subsuming the process of data generation, ...
ICCV
2009
IEEE
14 years 10 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...
ICIP
2007
IEEE
14 years 6 months ago
2007
IEEE
We propose in this paper a general kernel framework to deal with database object retrieval embedded in images with heterogeneous background. We use local features computed on fuzz...
VLSISP
2010
13 years 3 months ago
2010
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...
PR
2006
13 years 4 months ago
2006
The performance of many supervised and unsupervised learning algorithms is very sensitive to the choice of an appropriate distance metric. Previous work in metric learning and ada...