Adaptive, and especially view-dependent, volume visualization is used to display large volume data at interactive frame rates preserving high visual quality in specified or implied regions of importance. In typical approaches, the error metrics and refinement oracles used for viewdependent rendering are based on viewing parameters only. The approach presented in this paper considers viewing par...

Speaker change detection is important for automatic segmentation of multispeaker speech data into homogeneous segments with each segment containing the data of one speaker only. Existing approaches for speaker change detection are based on the dissimilarity of the distributions of the data before and after a speaker change point. In this paper, we propose a classification based technique for sp...

Modeling audio signals by the long-term statistical distribution of their local spectral features often denoted as bag of frames approach (BOF) is a popular and powerful method to describe audio content. While modeling the distribution of local spectral features by semi-parametric distributions (e.g. Gaussian Mixture Models) has been studied intensively, we investigate a non-parametric variant ...

Multi-frame rate rendering is a technique for improving interaction fidelity in complex virtual environments. The technique renders the interactive elements of a scene on a separate graphics processor and composes it with the remainder of the scene using optical superposition or digital composition. Multi-frame rate rendering is naturally implemented on a graphics cluster. With the recent avail...

In this paper, we present techniques for computing frame-adaptive approximations to the S T F T which can satisfy arbitrarily specified bounds on the number of arithmetic operations per frame. The central idea is to represent the samples in each signal frame with a very small number Q of quantization levels, yielding an SNR of 10Jog(Q2) dB. This leads to the formulation of the frame's D F T com...