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CDC
2008
IEEE
200views Control Systems» more  CDC 2008»
14 years 2 months ago
Maximum-likelihood Kalman filtering for switching discrete-time linear systems
— State estimation is addressed for a class of discrete-time systems that may switch among different modes taken from a finite set. The system and measurement equations of each ...
Angelo Alessandri, Marco Baglietto, Giorgio Battis...
BMCBI
2010
175views more  BMCBI 2010»
13 years 7 months ago
Global parameter estimation methods for stochastic biochemical systems
Background: The importance of stochasticity in cellular processes having low number of molecules has resulted in the development of stochastic models such as chemical master equat...
Suresh Kumar Poovathingal, Rudiyanto Gunawan
SDM
2009
SIAM
202views Data Mining» more  SDM 2009»
14 years 4 months ago
Proximity-Based Anomaly Detection Using Sparse Structure Learning.
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe,...
ICC
2007
IEEE
160views Communications» more  ICC 2007»
14 years 1 months ago
Robust Statistics Based Expectation-Maximization Algorithm for Channel Tracking in OFDM Systems
— Decision directed channel tracking (DDCT) at high fade rates in OFDM based systems is addressed in this paper. Existing DDCT algorithms like the expectation-maximization (EM) a...
Sheetal Kalyani, Krishnamurthy Giridhar
ICRA
2010
IEEE
121views Robotics» more  ICRA 2010»
13 years 6 months ago
On the global optimum of planar, range-based robot-to-robot relative pose estimation
Abstract— In this paper, we address the problem of determining the relative position and orientation (pose) of two robots navigating in 2D, based on known egomotion and noisy rob...
Nikolas Trawny, Stergios I. Roumeliotis