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» Learning Distance Functions using Equivalence Relations
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ICCV
2007
IEEE
16 years 4 months ago
Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification
We address the problem of visual category recognition by learning an image-to-image distance function that attempts to satisfy the following property: the distance between images ...
Andrea Frome, Yoram Singer, Fei Sha, Jitendra Mali...
JGO
2011
116views more  JGO 2011»
14 years 10 months ago
On generalized Ekeland's variational principle and equivalent formulations for set-valued mappings
We propose a very weak type of generalized distance called weak τ-function and use it to weaken the assumptions about lower semicontinuity in existing formulations of Ekeland’s ...
Phan Quoc Khanh, D. N. Quy
DSMML
2004
Springer
15 years 8 months ago
Understanding Gaussian Process Regression Using the Equivalent Kernel
The equivalent kernel [1] is a way of understanding how Gaussian process regression works for large sample sizes based on a continuum limit. In this paper we show how to approximat...
Peter Sollich, Christopher K. I. Williams
AMR
2007
Springer
140views Multimedia» more  AMR 2007»
15 years 9 months ago
Learning Distance Functions for Automatic Annotation of Images
This paper gives an overview of recent approaches towards image representation and image similarity computation for content-based image retrieval and automatic image annotation (ca...
Josip Krapac, Frédéric Jurie
SSDBM
2009
IEEE
116views Database» more  SSDBM 2009»
15 years 9 months ago
Constraint-Based Learning of Distance Functions for Object Trajectories
Abstract. With the drastic increase of object trajectory data, the analysis and exploration of trajectories has become a major research focus with many applications. In particular,...
Wei Yu, Michael Gertz