W. Mio, A. Srivastava, and X. Liu, "Contour inferences for image understanding," International Journal of Computer Vision, 2005.
A. Srivastava and X. Liu, ``Tools for Application-Driven Dimension Reduction,'' Neurocomputing, 2005.
A. Srivastava, S. H. Joshi, W. Mio, and X. Liu, ``Statistical shape analysis: Clustering, learning and testing,'' IEEE Transactions on Pattern Recognition and Machine Intelligence, vol. 27, no. 4, pp. 590--602, 2005.
C. Waring and X. Liu, ``Face detection using spectral histograms and SVM,'' IEEE Transactions on Systems, Man and Cybernetics - Part B, vol. 35, no. 3, 2005.
X. Liu, A. Srivastava, and Kyle Gallivan, ``Optimal linear representations of images for object recognition,'' IEEE Transactions on Pattern Recognition and Machine Intelligence, vol. 26, no. 5, pp. 662--666, 2004.
X. Liu, A. Srivastava, and D. L. Wang, ``Intrinsic generalization analysis of low dimensional representations,'' Neural Networks, vol. 16, no. 5/6, pp. 537--545, 2003.
X. Liu and L. Cheng, ``Independent spectral representations of images for recognition,'' Journal of the Optical Society of America, A, vol. 20, no. 7, pp. 1271--1282, 2003.
X. Liu and D. L. Wang, "Texture classification using spectral histograms," IEEE Transactions on Image Processing, vol. 12, no. 6, pp. 661--670, 2003.
A. Srivastava and X. Liu, ``Statistical hypothesis pruning for face recognition from IR images,'', Journal of Image and Vision Computing, vol. 21, no. 7, pp. 651--660, 2003.
X. Liu and D. L. Wang, ``A spectral histogram model for texton modeling and texture discrimination,'', Vision Research, vol. 42, no. 23, pp. 2617--2634, 2002.
A. Srivastava, X. Liu, and U. Grenander, ``Universal analytical forms for modeling image probabilities,'' IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 9, pp. 1200--1214, 2002.
D. L. Wang and X. Liu, ``Scene analysis by integrating primitive segmentation and associative memory,'' IEEE Transactions on Systems, Man, and Cybernetics, vol. 32, no. 3, pp. 254--268, 2002.
S. C. Zhu and X. Liu, "Learning in Gibbsian Feilds: How Accurate and How Fast can It Be?", IEEE Transactions on Pattern Analysis and Machine Intelligence,, vol.24, no.5, pp. 657-673, May, 2002.
X. Liu, K. Chen, and D. L. Wang, "Extraction of hydrographic regions from remote sensing images using an oscillator network with weight adaptation," IEEE Transactions On Geoscience and Remote Sensing, vol. 39, pp. 207-211, 2001.
K. Chen, D. L. Wang, and X. Liu, ``Weight adaptation and oscillatory correlation for image segmentation,'' IEEE Transactions on Neural Networks, vol. 11, no. 5, pp. 1106-1123, 2000.
S. C. Zhu, X. Liu, and Y. N. Wu, ``Exploring texture ensembles by efficient Markov chain Monte Carlo - Toward a `trichromacy' theory of texture,'' IEEE Transactions on Pattern Analysis and Machine Intelligence,, vol. 22, no. 6, pp. 554-569, 2000.
Y. N. Wu, S. C. Zhu, and X. Liu, ``Equivalence of Julesz and Gibbs ensembles and asymmetric distance of texture perception,'' International Journal of Computer Vision, vol. 38, no. 3, pp. 245-261, 2000.
X. Liu, D. L. Wang, and J. R. Ramirez, ``Boundary detection by contextual nonlinear smoothing," Pattern Recognition , vol. 33, no. 2, pp. 263-280, 2000.
X. Liu and D. L. Wang, "Range image segmentation using an oscillatory network," IEEE Transactions on Neural Networks, vol. 10, no. 3, pp. 564-573, 1999.
X. Liu and J. R. Rameriz (1996), "Automated vectorization and labeling of very large hypsographic map images using contour graph," Surveying and Land Information Systems,Vol. 57, No.1, pp. 5-10, 1997.
Last modified on August 16, 2000