274 search results - page 24 / 55 » Multiple labels associative classification |
110
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
Dual supervision refers to the general setting of learning from both labeled examples as well as labeled features. Labeled features are naturally available in tasks such as text c...
110
Voted
CSB
2005
IEEE
15 years 6 months ago
2005
IEEE
HIV-1-associated dementia (HAD) is the most devastating disease happened in the central nervous system of AIDS patients. Neuronal damage, the early indicator of HAD, under differe...
148
Voted
CVPR
2009
IEEE
16 years 7 months ago
2009
IEEE
Multi-instance multi-label learning (MIML) refers to the
learning problems where each example is represented by a
bag/collection of instances and is labeled by multiple labels.
...
97
Voted
INFOCOM
2009
IEEE
15 years 7 months ago
2009
IEEE
—A novel counter architecture, called Counter Braids, has recently been proposed for accurate per-flow measurement on high-speed links. Inspired by sparse random graph codes, Co...
147
Voted
CIVR
2008
Springer
15 years 2 months ago
2008
Springer
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...