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» Learning to Construct Fast Signal Processing Implementations
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ICASSP
2009
IEEE
14 years 11 months ago
Target detection using incremental learning on single-trial evoked response
The human neural responses associated with cognitive events, referred as event related potentials (ERPs), can provide reliable inference for target image detection. Incremental le...
Yonghong Huang, Deniz Erdogmus, Misha Pavel, Kenne...
ICASSP
2009
IEEE
15 years 8 months ago
Benchmarking flexible adaptive time-frequency transforms for underdetermined audio source separation
We have implemented several fast and flexible adaptive lapped orthogonal transform (LOT) schemes for underdetermined audio source separation. This is generally addressed by time-...
Andrew Nesbit, Emmanuel Vincent, Mark D. Plumbley
ICASSP
2011
IEEE
14 years 5 months ago
Online feature selection and classification
This paper presents an online feature selection and classification algorithm. The algorithm is implemented for impact acoustics signals to sort hazelnut kernels. The classifier, w...
Habil Kalkan, Bayram Cetisli
ICASSP
2010
IEEE
15 years 2 months ago
Multi-View Object Detection by Classifier Interpolation
In this paper, we propose a novel solution for multi-view object detection. Given a set of training examples at different views, we select examples at a few key views and train on...
Xiaobai Liu, Haifeng Gong, Shuicheng Yan, Hai Jin
AVSS
2007
IEEE
15 years 8 months ago
Detection of temporarily static regions by processing video at different frame rates
This paper presents an abandoned item and illegally parked vehicle detection method for single static camera video surveillance applications. By processing the input video at diff...
Fatih Porikli