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JMLR
2010
101views more  JMLR 2010»
13 years 3 months ago
Exploiting Feature Covariance in High-Dimensional Online Learning
Some online algorithms for linear classification model the uncertainty in their weights over the course of learning. Modeling the full covariance structure of the weights can prov...
Justin Ma, Alex Kulesza, Mark Dredze, Koby Crammer...
NGC
2000
Springer
101views Communications» more  NGC 2000»
13 years 8 months ago
Information Access in Multimedia Databases Based on Feature Models
With the increasing popularity of the WWW, the main challenge in computer science has become content-based retrieval of multimedia objects. Access to multimedia objects in database...
Arjen P. de Vries, Menzo Windhouwer, Peter M. G. A...
MM
2010
ACM
115views Multimedia» more  MM 2010»
13 years 7 months ago
Interactive learning of heterogeneous visual concepts with local features
In the context of computer-assisted plant identification we are facing challenging information retrieval problems because of the very high within-class variability and of the lim...
Wajih Ouertani, Michel Crucianu, Nozha Boujemaa
ICCVG
2010
13 years 6 months ago
A New Method for ECG Signal Feature Extraction
Abstract. The paper concentrates on electrocardiographic (ECG) signal analysis for the sake of acquiring proper heartbeat datasets for further detection and recognition of anomalie...
Adam Szczepanski, Khalid Saeed, Alois Ferscha
IEICET
2010
123views more  IEICET 2010»
13 years 5 months ago
TOA UWB Positioning with Two Receivers Using Known Indoor Features
Ultra-Wideband is an attractive technology for short range positioning, especially indoors. However, for normal Time of Arrival (ToA) positioning, at least three receivers with unb...
Jan Kietlinski-Zaleski, Takaya Yamazato, Masaaki K...