2512 search results - page 5 / 503 » Learning from Highly Structured Data by Decomposition |
99
Voted
ECCV
2010
Springer
15 years 1 days ago
2010
Springer
Confronted with the high-dimensional tensor-like visual data, we derive a method for the decomposition of an observed tensor into a low-dimensional structure plus unbounded but spa...
95
Voted
CVPR
2010
IEEE
15 years 1 days ago
2010
IEEE
In this paper, we present a novel method, the first to date to our knowledge, which is capable of directly and automatically producing a concise and idealized 3D representation f...
FGR
2004
IEEE
15 years 1 months ago
2004
IEEE
We present a new unsupervised learning technique for the discovery of temporal clusters in large data sets. Our method performs hierarchical decomposition of the data to find stru...
108
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CVPR
2011
IEEE
14 years 5 months ago
2011
IEEE
Sparse coding, which is the decomposition of a vector using only a few basis elements, is widely used in machine learning and image processing. The basis set, also called dictiona...
PRICAI
2000
Springer
15 years 1 months ago
2000
Springer
This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...