1310 search results - page 57 / 262 » Learning the k in k-means |
ICANN
2007
Springer
15 years 4 months ago
2007
Springer
This paper proposes a novel approach for directly tuning the gaussian kernel matrix for one class learning. The popular gaussian kernel includes a free parameter, σ, that requires...
ICPR
2000
IEEE
15 years 2 months ago
2000
IEEE
This paper presents a character segmentation algorithm for unconstrained cursive handwritten text. The transformation-based learning method and a simplified variation of it are us...
ECCV
2010
Springer
15 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 ...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
This paper presents an information theoretic perspective on design and analysis of evolutionary algorithms. Indicators of solution quality are developed and applied not only to in...
SDM
2004
SIAM
14 years 11 months ago
2004
SIAM
There has been a renewed interest in understanding the structure of high dimensional data set based on manifold learning. Examples include ISOMAP [25], LLE [20] and Laplacian Eige...