282 search results - page 7 / 57 » Parsimonious dictionary learning |
ICPR
2010
IEEE
15 years 3 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...
90
Voted
ICASSP
2010
IEEE
14 years 9 months ago
2010
IEEE
We propose an ℓ1 criterion for dictionary learning for sparse signal representation. Instead of directly searching for the dictionary vectors, our dictionary learning approach i...
108
click to vote
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...
CVIU
2008
14 years 9 months ago
2008
This paper presents a search engine architecture, RETIN, aiming at retrieving complex categories in large image databases. For indexing, a scheme based on a two-step quantization ...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
The recent upsurge of research toward compressive sampling and parsimonious signal representations hinges on signals being sparse, either naturally, or, after projecting them on a...