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Early ornithischian dinosaurs: the Triassic record
Abstract Ornithischian dinosaurs are one of the most taxonomically diverse dinosaur clades during the Mesozoic, yet their origin and early diversification remain virtually unknown. In recent years,Expand
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An adaptive routing protocol in underwater sparse acoustic sensor networks
Underwater acoustic sensor network (UASN) is a promising technique, which will facilitate a wide range of aquatic applications. However, because of adverse underwater environments, UASN faces grandExpand
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Sketch-based image retrieval via Siamese convolutional neural network
Sketch-based image retrieval (SBIR) is a challenging task due to the ambiguity inherent in sketches when compared with photos. In this paper, we propose a novel convolutional neural network based onExpand
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PLncDB: plant long non-coding RNA database
SUMMARY Plant long non-coding RNA database (PLncDB) attempts to provide the following functions related to long non-coding RNAs (lncRNAs): (i) Genomic information for a large number of lncRNAsExpand
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An Eigenvector-Based Approach for Multidimensional Frequency Estimation With Improved Identifiability
  • Jun Liu, X. Liu
  • Computer Science, Mathematics
  • IEEE Transactions on Signal Processing
  • 1 December 2006
This paper presents an algebraic method for two-dimensional (2-D) and multidimensional frequency estimation by exploiting eigenvector structure. The algorithm is based on multidimensional smoothingExpand
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Can k-NN imputation improve the performance of C4.5 with small software project data sets? A comparative evaluation
Missing data is a widespread problem that can affect the ability to use data to construct effective prediction systems. We investigate a common machine learning technique that can tolerate missingExpand
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Image Segmentation Using a Local GMM in a Variational Framework
  • Jun Liu, H. Zhang
  • Mathematics, Computer Science
  • Journal of Mathematical Imaging and Vision
  • 1 June 2013
In this paper, we propose a new variational framework to solve the Gaussian mixture model (GMM) based methods for image segmentation by employing the convex relaxation approach. After relaxing theExpand
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The disease and gene annotations (DGA): an annotation resource for human disease
  • Kai Peng, W. Xu, +11 authors Tian Xia
  • Computer Science, Medicine
  • Nucleic Acids Res.
  • 28 November 2012
Disease and Gene Annotations database (DGA, http://dga.nubic.northwestern.edu) is a collaborative effort aiming to provide a comprehensive and integrative annotation of the human genes in diseaseExpand
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Distance-based clustering of CGH data
MOTIVATION We consider the problem of clustering a population of Comparative Genomic Hybridization (CGH) data samples. The goal is to develop a systematic way of placing patients with similar CGHExpand
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First-Order Perturbation Analysis of Singular Vectors in Singular Value Decomposition
  • Jun Liu, X. Liu, X. Ma
  • Mathematics, Computer Science
  • IEEE/SP 14th Workshop on Statistical Signal…
  • 1 July 2008
The perturbation analysis of singular value decomposition (SVD) has been well documented in the literature within the context of subspace decomposition. The contribution of the signal subspace to theExpand
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