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» Neural Network Analysis of MINERVA Scene Analysis Benchmark
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ICIAP
2001
Springer
13 years 9 months ago
Neural Network Analysis of MINERVA Scene Analysis Benchmark
Scene analysis is an important area of research with the aim of identifying objects and their relationships in natural scenes. MINERVA benchmark has been recently introduced in th...
Markos Markou, Sameer Singh, Mona Sharma
ICASSP
2011
IEEE
12 years 8 months ago
Deep neural networks for acoustic emotion recognition: Raising the benchmarks
Deep Neural Networks (DNNs) denote multilayer artificial neural networks with more than one hidden layer and millions of free parameters. We propose a Generalized Discriminant An...
André Stuhlsatz, Christine Meyer, Florian E...
JOCN
2010
117views more  JOCN 2010»
12 years 12 months ago
The Neural Substrates and Timing of Top-Down Processes during Coarse-to-Fine Categorization of Visual Scenes: A Combined fMRI an
Spatial frequencies in an image influence visual analysis across a distributed, hierarchically organized brain network. Low spatial frequency (LSF) information may rapidly reach h...
Carole Peyrin, Christoph M. Michel, Sophie Schwart...
AMDO
2000
Springer
13 years 9 months ago
Analysis of Human Motion Using Snakes and Neural Networks
: A novel technique is described for analysing human movement in outdoor scenes. Following initial detection of the humans using active contour models, the contours are then re-rep...
Ken Tabb, Neil Davey, Rod Adams, Stella J. George
NPL
2006
172views more  NPL 2006»
13 years 5 months ago
Adapting RBF Neural Networks to Multi-Instance Learning
In multi-instance learning, the training examples are bags composed of instances without labels, and the task is to predict the labels of unseen bags through analyzing the training...
Min-Ling Zhang, Zhi-Hua Zhou