883 search results - page 20 / 177 » Unsupervised learning in neural computation |
132
click to vote
CVPR
2012
IEEE
12 years 12 months ago
2012
IEEE
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
90
Voted
CVPR
2004
IEEE
15 years 11 months ago
2004
IEEE
Can we detect low dimensional structure in high dimensional data sets of images? In this paper, we propose an algorithm for unsupervised learning of image manifolds by semidefinit...
117
Voted
CVPR
2012
IEEE
12 years 12 months ago
2012
IEEE
In this paper, we present an efficient general-purpose objective no-reference (NR) image quality assessment (IQA) framework based on unsupervised feature learning. The goal is to...
ICPR
2010
IEEE
15 years 2 months ago
2010
IEEE
—Traditionally, HMM-based approaches to online Kanji handwriting recognition have relied on a hand-made dictionary, mapping characters to primitives such as strokes or substrokes...
ESANN
2004
14 years 11 months ago
2004
Standard pattern recognition provides effective and noise-tolerant tools for machine learning tasks; however, most approaches only deal with real vectors of a finite and fixed dime...