• Publications
  • Influence
On Random Field Completely Automated Public Turing Test to Tell Computers and Humans Apart Generation
Herein, we propose generating CAPTCHAs through random field simulation and give a novel, effective and efficient algorithm to do so. Indeed, we demonstrate that sufficient information about wordExpand
  • 11
  • 3
A comparative study of feature weighting methods for document co-clustering
Document clustering is an important task in data mining. Co-clustering has become one of state-of-the-art methods for this task. In this paper, we propose a feature weighting co-clustering algorithmExpand
  • 25
  • 1
Inverse minimum cost flow problems under the weighted Hamming distance
Given a network N(V, A, u, c) and a feasible flow x0, an inverse minimum cost flow problem is to modify the cost vector as little as possible to make x0 form a minimum cost flow of the network. TheExpand
  • 16
  • 1
DOA Estimation and Self-Calibration Algorithm for Y-Shaped Array in the Presence of Mutual Coupling
  • Biao Wu, H. Chen
  • Computer Science
  • 2nd International Congress on Image and Signal…
  • 30 October 2009
A 2D DOA estimation algorithm in the presence of unknown mutual coupling for Y-shaped array based on MUSIC algorithm is presented and performance comparison among ULA, L-shaped arry and Y-shapedExpand
  • 5
  • 1
k-Partitioning problems with partition matroid constraint
In this paper, we consider the k-partitioning problems with partition matroid constraint and present an algorithm called the layered LPT algorithm. With the objective of minimizing the maximum load,Expand
  • 2
  • 1
Feature Weighting Information-Theoretic Co-Clustering for Document Clustering
This paper presents a feature weighting schema to improve the performance of Information-Theoretic Co-clustering (ITCC). The new algorithm, named as Feature Weighting Information-TheoreticExpand
  • 6
Two-stage continuation algorithms for Bloch waves of Bose-Einstein condensates in optical lattices
Bloch waves of Bose–Einstein condensates (BEC) in optical lattices are extremum nonlinear eigenstates which satisfy the time-independent Gross–Pitaevskii equation (GPE). We describe an efficientExpand
  • 7
  • Open Access
Guided-wave signal processing by the sparse Bayesian learning approach employing Gabor pulse model
Guided waves have been used for structural health monitoring to detect damage or defects in structures. However, guided wave signals often involve multiple modes and noise. Extracting meaningfulExpand
  • 15
A Bayesian approach for sparse flaw detection from noisy signals for ultrasonic NDT
Abstract Ultrasonic pulse-echo methods for flaw detection have been widely employed as an effective strategy for nondestructive evaluation, and flaw detection plays an important role due to itsExpand
  • 10
Lower bounds and modified LPT algorithm for k-partitioning problems with partition matroid constraint
In this paper, the k-partitioning problem with partition matroid constraint is considered. LPT algorithm is modified to fit the problem and its worst-case performance is analyzed. The lower bounds ofExpand
  • 3
  • Open Access