ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
This paper proposes an algorithm for joint data detection and tracking of the dominant singular mode of a time varying channel at the transmitter and receiver of a time division d...
INTERSPEECH
2010
13 years 6 months ago
2010
In this paper, we propose a joint optimal method for automatic speech recognition (ASR) and ideal binary mask (IBM) estimation in transformed into the cepstral domain through a ne...
ICIAR
2010
Springer
13 years 9 months ago
2010
Springer
Image segmentation is a critical low-level visual routine for robot perception. However, most image segmentation approaches are still too slow to allow real-time robot operation. I...
JMLR
2006
13 years 11 months ago
2006
We apply a type of generative modelling to the problem of blind source separation in which prior knowledge about the latent source signals, such as time-varying auto-correlation a...
COMPLIFE
2006
Springer
14 years 3 months ago
2006
Springer
We present a method for simultaneous dimension reduction and metastability analysis of high dimensional time series. The approach is based on the combination of hidden Markov model...
ISMIR
2004
Springer
14 years 5 months ago
2004
Springer
The presented study deals with extraction of melodic line(s) from polyphonic audio recordings. We base our work on the use of expectation maximization algorithm, which is employed...
ICRA
2006
IEEE
14 years 5 months ago
2006
IEEE
— When a network of robots or static sensors is emplaced in an environment, the spatial relationships between the sensing units must be inferred or computed for most key applicat...
IROS
2007
IEEE
14 years 6 months ago
2007
IEEE
— We present a novel technique for the detection of hand-thrown objects in a video sequence. Our method runs in real-time and was designed to be used as a component in a deployed...
ICML
2001
IEEE
15 years 19 days ago
2001
IEEE
This paper describes an algorithm for generating compact 3D models of indoor environments with mobile robots. Our algorithm employs the expectation maximization algorithm to fit a...
ICML
2005
IEEE
15 years 19 days ago
2005
IEEE
We introduce a Bayesian model, BayesANIL, that is capable of estimating uncertainties associated with the labeling process. Given a labeled or partially labeled training corpus of...