Lower Bounds for BMRM and Faster Rates for Training SVMs (2009)
Saha, Ankan, Zhang, Xinhua, Vishwanathan, S. V. N.
Regularized risk minimization with the binary hinge loss and its variants lies at the heart of many machine learning problems. Bundle methods for regularized risk minimization (BMRM) and the closely...
Kernel Measures of Independence for non-iid Data ∗ (2009)
Xinhua Zhang, Arthur Gretton, Le Song, Alex Smola
Many machine learning algorithms can be formulated in the framework of statistical independence such as the Hilbert Schmidt Independence Criterion. In this paper, we extend this criterion to deal...
Kernel Measures of Independence for non-iid Data (2008)
Zhang, Xinhua, Song, Le, Gretton, Arthur, Smola, Alex
Many machine learning algorithms can be formulated in the framework of statistical independence such as the Hilbert Schmidt Independence Criterion. In this paper, we extend this criterion to deal...
Consistent Image Analogies using Semi-supervised Learning (2008)
Cheng, Li, Vishwanathan, SVN, Zhang, Xinhua
In this paper we study the following problem: given two source images A and A0, and a target image B, can we learn to synthesize a new image B0 which relates to B in the same way that A0 relates to...
Tailoring Density Estimation via Reproducing Kernel Moment Matching (2008)
Song, Le, Zhang, Xinhua, Smola, Alex, Gretton, Arthur, Schölkopf, Bernhard
Moment matching is a popular means of parametric density estimation. We extend this technique to nonparametric estimation of mixture models. Our approach works by embedding distributions into a...
A XML Format Secure Protocol--OpenSST (2008)
Xinhua Zhang, Chunyan Jiang, Wangjun Huang, Christoph Meinel
OpenSST (Open Simple Secure Transaction) is a free software project and aims to create an efficient, open and secure alternative to the secure proprietary transaction protocol. OpenSST uses XML...
Conditional Random Fields for Multi-agent Reinforcement Learning (2008)
Xinhua Zhang, Douglas Aberdeen
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of observation and label...
Semi-Supervised Learning in Reproducing Kernel Hilbert Spaces Using Local Invariances (2008)
Wee Sun Lee, Xinhua Zhang, Yee Whye Teh
Abstract. We propose a framework for semi-supervised learning in reproducing kernel Hilbert spaces using local invariances that explicitly characterize the behavior of the target function around both...
Enhance OpenSST Protocol's Security with Smart Card (2008)
Smart Card, Xinhua Zhang, Alexandre Dulaunoy, Christoph Meinel
As an open source project, Open Simple Secure Transaction (OpenSST) protocol aims to be a secure and transactionoriented protocol for the unsecured network. At present a prototypes has been...
Routing Based Workflow for Construction of Distributed Applications * (2007)
Wanjun Huang, Xinhua Zhang, Uwe Roth, Christoph Meinel
Dynamic reconfiguration is absorbing more and more research focus for its increasing demand in inconstant distributed application. In this paper we propose a routing based workflow to model the...
Segmentation and Quantification of Brain Tumor (2007)
Chunyan Jiang, Xinhua Zhang, Wanjun Huang, Christoph Meinel
Abstract – Nowadays, the inside situation could be obtained by medical machines, such as Computed Tomography (CT), Magnetic Resonance Imaging (MRI) scanner, etc. These noninvasive diagnosis means...
Semi-supervised Learning in Reproducing Kernel Hilbert Spaces Using Local Invariances (2006)
LEE, Wee Sun, ZHANG, Xinhua, TEH, Yee Whye
We propose a framework for semi-supervised learning in reproducing kernel Hilbert spaces using local invariances that explicitly characterize the behavior of the target function around both labeled...
Preparation of SiC-Si3N4 Composite Powder from Organosilicon Precursors. (1998)
Fan, Qisheng, Han, Tingen, Liu, Jingling, Zhang, Xinhua, Gu, Peizhi
ZHOU, BEIFAN, ZHANG, XINHUA, ZHU, AIMIN, ZHAO, LIANCHENG, XHU, SHOUMIN, RUAN, LIANSHENG, ...
The relationship of diet to blood pressure was studied in a total of 705 men and women aged 40–59 from three Chinese population samples having different mean blood pressure and dietary sodium and...
Semi-supervised learning algorithms have been successfully applied in many applications with scarce labeled data, by utilizing the unlabeled data. One important category is graph based...
Semi-supervised learning algorithms have been successfully applied in many applications with scarce labeled data, by utilizing the unlabeled data. One important category is graph based...
Regulation of Toll-like receptor–mediated inflammatory response by complement in vivo
Zhang, Xinhua, Kimura, Yuko, Fang, Chongyun, Zhou, Lin, Sfyroera, Georgia, Lambris, John D., ...
Toll-like receptors (TLRs) and complement are 2 components of innate immunity that are critical for first-line host defense and elicitation of adaptive immune responses. Many pathogen-associated...