Image based rendering is an attractive alternative for generating novel views compared to model based rendering due to its lower complexity and potential for photo-realistic resul...
A new emerging field, that of visual stylometry of art, proposes to apply image analysis and machine learning tools to high-resolution digital images of artwork in order to assis...
Structured precision modelling is an important approach to improve the intra-frame correlation modelling of the standard HMM, where Gaussian mixture model with diagonal covariance...
Ionosphere consists of a large complex system whose analysis is of major importance, e.g., for climatology or radiocommunications. Therefore, studying its variations, usually anal...
We describe feature space and model space discriminative training for a new class of acoustic models called Bayesian sensing hidden Markov models (BS-HMMs). In BS-HMMs, speech dat...
In a non-ideal PLL circuit, leakage of the reference signal into the control line produces spurious tones. When the distorted PLL signal is used as a clock signal, it creates spur...
This paper proposes an ultra low energy FFT processor suitable for sensor applications. The processor is based on R4MDC but achieves full utilization of computational elements. It...
Non-negative Matrix Factorization (NMF) has found use in single channel separation of audio signals, as it gives a parts-based decomposition of audio spectrograms where the parts ...
Rajesh Jaiswal, Derry Fitzgerald, Dan Barry, Eugen...
Relays represent a promising approach to extend the cell coverage, combat the strong shadowing effects as well as guarantee the QoS in dense networks. Among the numerous existing ...
We propose a method to enhance multi-stream Gabor and MFCC features using data-driven hierarchical phoneme clusters to yield more discriminating posteriors. We take into account d...