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» Learning Distance Functions using Equivalence Relations
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ICCV
2007
IEEE
14 years 11 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»
13 years 4 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
14 years 3 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»
14 years 3 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»
14 years 4 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