We describe the underlying probabilistic generative signal model of non-negative matrix factorisation (NMF) and propose a realistic conjugate priors on the matrices to be estimate...
Tuomas Virtanen, Ali Taylan Cemgil, Simon J. Godsi...
In this paper, we propose a novel multi-dimensional distributed hidden Markov model (DHMM) framework. We first extend the theory of 2D hidden Markov models (HMMs) to arbitrary ca...
This paper proposes a robust video fingerprinting method based on affine covariant regions. In video fingerprinting, a video clip is identified using short feature vectors ref...
A sound eld reproduction method which uses blind source separation and head-related transfer function is proposed. In the proposed system, multichannel acoustic signals captured a...
This paper addresses the computational complexity of scalable video decoding using emerging scalable extension of H.264/AVC (SVC) standard compliant decoder. Scalable functionalit...
Independent component analysis (ICA) is a statistical and computational technique for revealing hidden factors that underlie sets of signals. We propose an improved ICA framework ...
Jing Sui, Jingyu Liu, Lei Wu, Andrew Michael, Lai ...
Phase features are widely used in image processing and representation due to their stability to deformation and noise [1, 2]. However, phase singularities,where the signals vanish...
We address the problem of instantaneous, underdetermined audio source separation by time-frequency masking. Using oracle estimators, we determine experimental upper performance bo...
We consider probabilistic methods to compute the near midair collision risk using state estimate and covariance from a target tracking filter based on angle-only sensors such as ...
Recent work in the emerging field of compressive sensing indicates that, when feasible, judicious selection of the type of distortion induced by measurement systems may dramatica...