274 search results - page 30 / 55 » Activity Recognition from Sparsely Labeled Data Using Multi-... |
112
Voted
NIPS
2008
15 years 1 months ago
2008
Inspired by the hierarchical hidden Markov models (HHMM), we present the hierarchical semi-Markov conditional random field (HSCRF), a generalisation of embedded undirected Markov ...
119
click to vote
BMCBI
2010
15 years 16 days ago
2010
Background: Recently, supervised learning methods have been exploited to reconstruct gene regulatory networks from gene expression data. The reconstruction of a network is modeled...
111
Voted
ACL
2006
15 years 1 months ago
2006
This paper investigates a machine learning approach for temporally ordering and anchoring events in natural language texts. To address data sparseness, we used temporal reasoning ...
90
Voted
ECCV
2000
Springer
16 years 2 months ago
2000
Springer
This paper describes a novel view-based learning algorithm for 3D object recognition from 2D images using a network of linear units. The SNoW learning architecture is a sparse netw...
115
Voted
COLING
2010
14 years 7 months ago
2010
Active Learning (AL) is a selective sampling strategy which has been shown to be particularly cost-efficient by drastically reducing the amount of training data to be manually ann...