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» Forest Species Recognition Using Color-Based Features
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ICPR
2010
IEEE
13 years 10 months ago
Forest Species Recognition Using Color-Based Features
In this work we address the problem of forest species recognition which is a very challenging task and has several potential applications in the wood industry. The first contribu...
Pedro Luiz Paula, Luiz Oliveira, Alceu Britto, R. ...
ICASSP
2011
IEEE
12 years 8 months ago
Bird species recognition combining acoustic and sequence modeling
The goal of this work was to explore modeling techniques to improve bird species classification from audio samples. We first developed an unsupervised approach to obtain approxima...
Martin Graciarena, Michelle Delplanche, Elizabeth ...
ACCV
2010
Springer
12 years 11 months ago
Randomised Manifold Forests for Principal Angle-Based Face Recognition
Abstract. In set-based face recognition, each set of face images is often represented as a linear/nonlinear manifold and the Principal Angles (PA) or Kernel PAs are exploited to me...
Ujwal D. Bonde, Tae-Kyun Kim, K. R. Ramakrishnan
ICASSP
2010
IEEE
13 years 4 months ago
Acoustic front-end optimization for bird species recognition
The goal of this work was to explore the optimization of the feature extraction module (front-end) parameters to improve bird species recognition. We explored optimizing the spect...
Martin Graciarena, Michelle Delplanche, Elizabeth ...
IBPRIA
2007
Springer
13 years 8 months ago
Random Forest for Gene Expression Based Cancer Classification: Overlooked Issues
Random forest is a collection (ensemble) of decision trees. It is a popular ensemble technique in pattern recognition. In this article, we apply random forest for cancer classifica...
Oleg Okun, Helen Priisalu