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ECCV
2004
Springer
14 years 9 months ago
Image Clustering with Metric, Local Linear Structure, and Affine Symmetry
Abstract. This paper addresses the problem of clustering images of objects seen from different viewpoints. That is, given an unlabelled set of images of n objects, we seek an unsup...
Jongwoo Lim, Jeffrey Ho, Ming-Hsuan Yang, Kuang-Ch...
GIS
2004
ACM
14 years 9 months ago
A novel improvement to the R*-tree spatial index using gain/loss metrics
The R*-tree is a state-of-the-art spatial index structure. It has already found its way into commercial systems. The most important improvement of the R*-tree over the original R-...
Donghui Zhang, Tian Xia
ATAL
2011
Springer
12 years 7 months ago
Metric learning for reinforcement learning agents
A key component of any reinforcement learning algorithm is the underlying representation used by the agent. While reinforcement learning (RL) agents have typically relied on hand-...
Matthew E. Taylor, Brian Kulis, Fei Sha
ICCV
2007
IEEE
14 years 9 months ago
Globally Optimal Affine and Metric Upgrades in Stratified Autocalibration
We present a practical, stratified autocalibration algorithm with theoretical guarantees of global optimality. Given a projective reconstruction, the first stage of the algorithm ...
Manmohan Krishna Chandraker, Sameer Agarwal, David...
COLT
2008
Springer
13 years 9 months ago
Finding Metric Structure in Information Theoretic Clustering
We study the problem of clustering discrete probability distributions with respect to the Kullback-Leibler (KL) divergence. This problem arises naturally in many applications. Our...
Kamalika Chaudhuri, Andrew McGregor