625 search results - page 50 / 125 » Large-scale manifold learning |
ECCV
2010
Springer
14 years 2 months ago
2010
Springer
We present a novel similarity measure for bag-of-words type large scale image retrieval. The similarity function is learned in an unsupervised manner, requires no extra space over ...
PKDD
2000
Springer
14 years 1 months ago
2000
Springer
This paper investigates the use of reinforcement learning in electric power system emergency control. The approach consists of using numerical simulations together with on-policy M...
ICPR
2010
IEEE
14 years 2 months ago
2010
IEEE
—In this paper, we propose a Multi-Manifold Discriminant Analysis (MMDA) method for face feature extraction and face recognition, which is based on graph embedded learning and un...
COMPGEOM
2010
ACM
14 years 1 months ago
2010
ACM
We give a provably correct algorithm to reconstruct a kdimensional manifold embedded in d-dimensional Euclidean space. Input to our algorithm is a point sample coming from an unkn...
ICCV
2007
IEEE
14 years 4 months ago
2007
IEEE
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...