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Found 7 papers, 2 papers with code
Equilibrium Model with Anisotropy for Model-Based Reconstruction in Magnetic Particle Imaging
Magnetic particle imaging is a tracer-based tomographic imaging technique that allows the concentration of magnetic nanoparticles to be determined with high spatio-temporal resolution.
Audio Scene Classification with Deep Recurrent Neural Networks
We introduce in this work an efficient approach for audio scene classification using deep recurrent neural networks.
CNN-LTE: a Class of 1-X Pooling Convolutional Neural Networks on Label Tree Embeddings for Audio Scene Recognition
This category taxonomy is then used in the feature extraction step in which an audio scene instance is represented by a label tree embedding image.
CaR-FOREST: Joint Classification-Regression Decision Forests for Overlapping Audio Event Detection
The regression phase is then carried out to let the positive audio segments vote for the event onsets and offsets, and therefore model the temporal structure of audio events.
Label Tree Embeddings for Acoustic Scene Classification
We present in this paper an efficient approach for acoustic scene classification by exploring the structure of class labels.
Learning Compact Structural Representations for Audio Events Using Regressor Banks
The entries of the descriptor are produced by evaluating a set of regressors on the input signal.
Robust Audio Event Recognition with 1-Max Pooling Convolutional Neural Networks
We present in this paper a simple, yet efficient convolutional neural network (CNN) architecture for robust audio event recognition.
