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EPIA
2009
Springer
16 years 1 months ago
Learning Visual Object Categories with Global Descriptors and Local Features
Different types of visual object categories can be found in real-world applications. Some categories are very heterogeneous in terms of local features (broad categories) while oth...
Rui Pereira, Luís Seabra Lopes
SPLC
2007
15 years 7 months ago
A Quality Model for Evaluating Feature Models
This paper presents work in progress to construct a model for guiding and evaluating the quality of featureoriented models, called FMQ. Product line concepts are becoming increasi...
Christer Thörn
ICMLC
2010
Springer
15 years 5 months ago
Multiple kernel learning and feature space denoising
We review a multiple kernel learning (MKL) technique called p regularised multiple kernel Fisher discriminant analysis (MK-FDA), and investigate the effect of feature space denois...
Fei Yan, Josef Kittler, Krystian Mikolajczyk
INTERSPEECH
2010
15 years 1 months ago
A comparative large scale study of MLP features for Mandarin ASR
MLP based front-ends have shown significant complementary properties to conventional spectral features. As part of the DARPA GALE program, different MLP features were developed fo...
Fabio Valente, Mathew Magimai-Doss, Christian Plah...
CVPR
2005
IEEE
16 years 8 months ago
Boosting Saliency in Color Image Features
The aim of salient point detection is to find distinctive events in images. Salient features are generally determined from the local differential structure of images. They focus o...
Joost van de Weijer, Theo Gevers