13 search results - page 2 / 3 » Wavelet-domain compressive signal reconstruction using a Hid... |
DCC
2003
IEEE
13 years 10 months ago
2003
IEEE
- Rate-distortion theory is applied to the problem of joint compression and classification. A Lagrangian distortion measure is used to consider both the squared Euclidean error in ...
CORR
2011
Springer
12 years 8 months ago
2011
Springer
Statistical dependencies among wavelet coefficients are commonly represented by graphical models such as hidden Markov trees (HMTs). However, in linear inverse problems such as d...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
In this paper we study various chain codes, which are representations of binary image contours, in terms of their ability to compress in the best way the contour information using...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
We propose an informative dialect recognition system that learns phonetic transformation rules, and uses them to identify dialects. A hidden Markov model is used to align referenc...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Current hidden Markov acoustic modeling for large vocabulary continuous speech recognition (LVCSR) relies on the availability of abundant labeled transcriptions. Given that speech...