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Widespread current cameras are part of multisensory systems with an integrated computer (smartphones). Computer vision thus starts evolving to cross-modal sensing, where vision and other sensors cooperate. This exists in humans and animals, reflecting nature, where visual events are often accompanied with sounds. Can vision assist in denoising another modality? As a case study, we demonstrate this...
The brain evoked potentials (BEP) are related directly to series of diseases and physical states. It is helpful to prevent and diagnose the brain diseases by recognizing the evoked potential. In this paper, we use the traditional average method and the wavelet transformation technology to wipe off the noise and extract the feature for the instantaneous visual evoked potential (VEP) at first. Then...
This paper describes a new video event detection framework based on subspace selection technique. With the approach, feature vectors presenting different kinds of video information can be easily projected from different modalities onto an unified subspace, on which recognition process can be performed. The approach is capable of discriminating different classes and preserving the intra-modal geometry...
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