Not Logged In



Publications with keyword "Segmentation"

1. Y. Song, L. Mou, R. Yan, L. Yi, Z. Zhu, X. Hu. "Dialogue Session Segmentation by Embedding-Enhanced TextTiling". Annual Conference of the International Speech Communication Association, pp 2706–2710, September 2016. PDFview
2. I. Diaz, P. Boulanger, R. Greiner, B. Hoehn, L. Rowe, A. Murtha. "An Automatic Brain Tumor Segmentation Tool". Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp 3339-3342, July 2013. view
3. C. Lee. "Modeling Spatial Correlations for Effective Discriminative Classifiers". PhD Thesis, January 2009. PDFview
4. I. Levner, R. Greiner, H. Zhang. "Supervised Image segmentation via Ground Truth Decomposition". 2008 IEEE International Conference on Image Processing, September 2008. PDFview
5. I. Levner, H. Zhang, R. Greiner. "Heterogeneous Stacking for Classification Driven Watershed Segmentation". EURASIP Journal on Advances in Signal Processing, 2008(Article ID 485821 (9 pages)), January 2008. view
6. N. Ray, R. Greiner, A. Murtha. "Using Symmetry to Detect Abnormalities in Brain MRI". Computer Society of India Communications, 31(19), pp 7--10, January 2008. PDFview
7. M. Schmidt, I. Levner, R. Greiner, A. Murtha, A. Bistritz. "Segmenting Brain Tumors using Alignment-Based Features". International Conference on Machine Learning and Applications (ICMLA), Los Angeles, December 2005. PDFview
8. C. Lee, M. Schmidt, A. Murtha, A. Bistritz, J. Sander, R. Greiner. "Segmenting Brain Tumor with Conditional Random Fields and Support Vector Machines". Computer Vision for Biomedical Image Applications: Current Techniques and Future Trends, Springer, (ed: Liu, Yanxi; Jiang, Tianzi; Zhang, Changshui), pp 469-478, October 2005. PDFview
9. X. Huang, F. Peng, D. Schuurmans, N. Cercone, S. Robertson. "Applying Machine Learning to Text Segmentation for Information Retrieval". Information Retrieval (IR), 6(3), pp 333-362, September 2003. view
10. F. Peng, X. Huang, D. Schuurmans, N. Cercone. "Investigating the Relationship Between Word Segmentation Performance and Retrieval Performance in Chinese IR". Conference on Computational Linguistics (COLING), Taipei, August 2002. PDFview
11. Z. Li, O. Zaiane, Z. Tauber. " Illumination Invariance and Object Model in Content-Based Image and Video Retrieval". Journal of Visual Communication and Image Representation, 10(3), pp 219-244, October 1999. PDFview
University of Alberta Logo AICML Logo