Variable selection for the multicategory SVM via adaptive sup-norm regularization (2008)
Zhang, Hao Helen, Liu, Yufeng, Wu, Yichao, Zhu, Ji
The Support Vector Machine (SVM) is a popular classification paradigm in machine learning and has achieved great success in real applications. However, the standard SVM can not select variables...
A Method for Acquiring Multi-Planar Volumetric Models (2004)
Sebastian Thrun, Wolfram Burgard, Deepayan Chakrabarti, Rosemary Emery, Yufeng Liu
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 low-complexity...
Multicategory psi-learning and support vector machine (2004)
Many margin-based classification techniques such as support vector machine (SVM) and psi-learning deliver high performance by directly focusing on estimating the decision boundary, as opposed to...
A Real-Time Expectation Maximization Algorithm (2003)
Sebastian Thrun, Christian Martin, Yufeng Liu, Dirk Hahnel, Rosemary Emery-montemerlo, Deepayan Chakrabarti, ...
This paper presents a real-time algorithm for acquiring compact 3D maps of indoor environments, using a mobile robot equipped with range and imaging sensors. Building on previous work on real-time...
Gaussian Multi-Robot SLAM (2003)
We present an algorithm for the multi-robot simultaneous localization and mapping (SLAM) problem. Our algorithm enables teams of robots to build joint maps, even if their relative starting locations...
Results for Outdoor-SLAM Using Sparse Extended Information Filters (2003)
In [13], a new algorithm was proposed for efficiently solving the simultaneous localization and mapping (SLAM) problem. In this paper, we extend this algorithm to handle data association problems and...
Results for Outdoor-SLAM Using Sparse Extended Information Filters (2002)
In [13], a new algorithm was proposed for efficiently solving the simultaneous localization and mapping (SLAM) problem. In this paper, we extend this algorithm to handle data association problems and...
Using EM to Learn 3D Models of Indoor Environments with Mobile Robots (2001)
Yufeng Liu, Rosemary Emery, Deepayan Chakrabarti
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 lowcomplexity...
Using EM to Learn 3D Environment Models with Mobile Robots (2001)
Yufeng Liu, Rosemary Emery, Deepayan Chakrabarti, Wolfram Burgard
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 lowcomplexity...
Polymorphism in Myristoylpalmitoylphosphatidylcholine (1999)
Stephanie Tristram-nagle, Yisrael Isaacson, Yulia Lyatskaya, Yufeng Liu, Kay Brummond, John Katsaras, ...
This study focuses on the mixed-chain lipid myristoylpalmitoylphosphatidylcholine (MPPC) near full hydration. The lipid, synthesized according to the procedure of (Mason et al., 1981a, has a low...
John F. Nagle, Yufeng Liu, Stephanie Tristram-nagle, Richard M. Epand, Ruth E. Stark
A recent method to obtain the number of water molecules of hydration of multilamellar lipid vesicles using magic angle spinning nuclear magnetic resonance has been re-examined. The previous...
Multicategory psi-learning and support vector machine
Many margin-based classification techniques such as support vector machine (SVM) and psi-learning deliver high performance by directly focusing on estimating the decision boundary, as opposed to...
Structure of gel phase DMPC determined by X-ray diffraction.
Tristram-Nagle, Stephanie, Liu, Yufeng, Legleiter, Justin, Nagle, John F
The structure of fully hydrated gel phase dimyristoylphosphatidylcholine lipid bilayers was obtained at 10 degrees C. Oriented lipid multilayers were used to obtain high signal-to-noise intensity...
Kučerka, Norbert, Liu, Yufeng, Chu, Nanjun, Petrache, Horia I., Tristram-Nagle, Stephanie, Nagle, John F.
Quantitative structures of the fully hydrated fluid phases of dimyristoylphosphatidylcholine (DMPC) and dilauroylphosphatidylcholine (DLPC) were obtained at 30°C. Data for the relative form factors...
Structure of gel phase DMPC determined by X-ray diffraction.
Tristram-Nagle, Stephanie, Liu, Yufeng, Legleiter, Justin, Nagle, John F
The structure of fully hydrated gel phase dimyristoylphosphatidylcholine lipid bilayers was obtained at 10 degrees C. Oriented lipid multilayers were used to obtain high signal-to-noise intensity...
Kučerka, Norbert, Liu, Yufeng, Chu, Nanjun, Petrache, Horia I., Tristram-Nagle, Stephanie, Nagle, John F.
Quantitative structures of the fully hydrated fluid phases of dimyristoylphosphatidylcholine (DMPC) and dilauroylphosphatidylcholine (DLPC) were obtained at 30°C. Data for the relative form factors...
Support vector machines with adaptive Lq penalty
Liu, Yufeng, Helen Zhang, Hao, Park, Cheolwoo, Ahn, Jeongyoun
Probability estimation for large-margin classifiers
Large margin classifiers have proven to be effective in delivering high predictive accuracy, particularly those focusing on the decision boundaries and bypassing the requirement of estimating the...