Sciweavers

1956 search results - page 181 / 392
» Learning the Relative Importance of Features in Image Data
Sort
View
MIR
2004
ACM
236views Multimedia» more  MIR 2004»
15 years 9 months ago
Boosting contextual information in content-based image retrieval
We present a new framework for characterizing and retrieving objects in cluttered scenes. This CBIR system is based on a new representation describing every object taking into acc...
Jaume Amores, Nicu Sebe, Petia Radeva, Theo Gevers...
CIVR
2006
Springer
174views Image Analysis» more  CIVR 2006»
15 years 7 months ago
Annotating News Video with Locations
Abstract. The location of video scenes is an important semantic descriptor especially for broadcast news video. In this paper, we propose a learning-based approach to annotate shot...
Jun Yang 0003, Alexander G. Hauptmann
BMCBI
2007
147views more  BMCBI 2007»
15 years 4 months ago
Improved residue contact prediction using support vector machines and a large feature set
Background: Predicting protein residue-residue contacts is an important 2D prediction task. It is useful for ab initio structure prediction and understanding protein folding. In s...
Jianlin Cheng, Pierre Baldi
CIKM
2008
Springer
15 years 6 months ago
Metric-based ontology learning
Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...
Hui Yang, Jamie Callan
143
Voted
VLSISP
2010
106views more  VLSISP 2010»
15 years 2 months ago
A Multi-Pronged Approach to Improving Semantic Extraction of News Video
In this paper we describe a multi-strategy approach to improving semantic extraction from news video. Experiments show the value of careful parameter tuning, exploiting multiple fe...
Alexander G. Hauptmann, Ming-yu Chen, Michael G. C...