ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
For decades, Hidden Markov Models (HMMs) have been the state-of-the-art technique for acoustic modeling despite their unrealistic independence assumptions and the very limited rep...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
A common problem in frequency domain independent component analysis (ICA) is the so called permutation problem which arises due to the independent demixing in each frequency bin. ...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
Many practical applications of clustering involve data collected over time. In these applications, evolutionary clustering can be applied to the data to track changes in clusters ...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
We present a kernel-based recursive least-squares (KRLS) algorithm on a fixed memory budget, capable of recursively learning a nonlinear mapping and tracking changes over time. I...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
Thread counting algorithms seek to determine from x-ray images the vertical and horizontal thread counts (frequencies) of the canvas weave comprising a painting’s support. Our s...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
Recently, we have presented a transient noise reduction algorithm for speech signals that relies on non-local diffusion filtering. By exploiting the repetitive nature of transien...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
In this paper, we analyze the reproduction of light fields on multiview 3D displays. A two-way interaction between the input light field signal (which is often aliased) and the ...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
Although research has previously been done on multilingual speech recognition, it has been found to be very difficult to improve over separately trained systems. The usual approa...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
A distributed set-membership-constrained particle filter (SMCPF) is developed for decentralized tracking applications using wireless sensor networks. Unlike existing PF alternati...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
This paper addresses the training of classification trees for weakly labelled data. We call ”weakly labelled data”, a training set such as the prior labelling information pro...