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ICASSP
2011
IEEE
8 years 9 months ago
Joint data detection and dominant singular mode estimation in time varying reciprocal MIMO systems
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...
Ranjitha Prasad, Bettagere Nagaraja Bharath, Chand...
INTERSPEECH
2010
9 years 21 days ago
Robust automatic speech recognition with decoder oriented ideal binary mask estimation
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...
Lae-Hoon Kim, Kyung-Tae Kim, Mark Hasegawa-Johnson
ICIAR
2010
Springer
9 years 3 months ago
Image Segmentation for Robots: Fast Self-adapting Gaussian Mixture Model
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...
Nicola Greggio, Alexandre Bernardino, José ...
JMLR
2006
105views more  JMLR 2006»
9 years 5 months ago
Linear State-Space Models for Blind Source Separation
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...
Rasmus Kongsgaard Olsson, Lars Kai Hansen
COMPLIFE
2006
Springer
9 years 9 months ago
Set-Oriented Dimension Reduction: Localizing Principal Component Analysis Via Hidden Markov Models
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...
Illia Horenko, Johannes Schmidt-Ehrenberg, Christo...
ISMIR
2004
Springer
125views Music» more  ISMIR 2004»
9 years 11 months ago
Gaussian Mixture Models For Extraction Of Melodic Lines From Audio Recordings
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...
Matija Marolt
ICRA
2006
IEEE
131views Robotics» more  ICRA 2006»
9 years 12 months ago
A Practical Algorithm for Network Topology Inference
— 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...
Dimitri Marinakis, Gregory Dudek
IROS
2007
IEEE
180views Robotics» more  IROS 2007»
10 years 5 days ago
Detection of thrown objects in indoor and outdoor scenes
— 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...
Evan Ribnick, Stefan Atev, Nikolaos Papanikolopoul...
ICML
2001
IEEE
10 years 6 months ago
Using EM to Learn 3D Models of Indoor Environments with Mobile Robots
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...
Yufeng Liu, Rosemary Emery, Deepayan Chakrabarti, ...
ICML
2005
IEEE
10 years 6 months ago
A model for handling approximate, noisy or incomplete labeling in text classification
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...
Ganesh Ramakrishnan, Krishna Prasad Chitrapura, Ra...
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