Sciweavers

502 search results - page 18 / 101
» Learning from General Label Constraints
Sort
View
ICCV
2007
IEEE
14 years 10 months ago
Classification of Weakly-Labeled Data with Partial Equivalence Relations
In many vision problems, instead of having fully labeled training data, it is easier to obtain the input in small groups, where the data in each group is constrained to be from th...
Sanjiv Kumar, Henry A. Rowley
JAIR
2007
159views more  JAIR 2007»
13 years 8 months ago
Combination Strategies for Semantic Role Labeling
This paper introduces and analyzes a battery of inference models for the problem of semantic role labeling: one based on constraint satisfaction, and several strategies that model...
Mihai Surdeanu, Lluís Màrquez, Xavie...
CIVR
2008
Springer
279views Image Analysis» more  CIVR 2008»
13 years 10 months ago
Semi-supervised learning of object categories from paired local features
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...
Wen Wu, Jie Yang
SIGIR
2011
ACM
12 years 11 months ago
Learning to rank from a noisy crowd
We study how to best use crowdsourced relevance judgments learning to rank [1, 7]. We integrate two lines of prior work: unreliable crowd-based binary annotation for binary classi...
Abhimanu Kumar, Matthew Lease
CVPR
2009
IEEE
14 years 20 days ago
"Who are you?" - Learning person specific classifiers from video
We investigate the problem of automatically labelling faces of characters in TV or movie material with their names, using only weak supervision from automaticallyaligned subtitle ...
Josef Sivic, Mark Everingham, Andrew Zisserman