Topological Inference
暂无分享,去创建一个
Dimitris Papadias | Christos H. Papadimitriou | Michelangelo Grigni | C. Papadimitriou | M. Grigni | D. Papadias | Michelangelo Grigni | Dimitris Papadias
[1] Karl J. Friston,et al. Comparing Functional (PET) Images: The Assessment of Significant Change , 1991, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[2] D. Siegmund,et al. Testing for a Signal with Unknown Location and Scale in a Stationary Gaussian Random Field , 1995 .
[3] Max J. Egenhofer,et al. Reasoning about Binary Topological Relations , 1991, SSD.
[4] Jonathan D. Cohen,et al. Improved Assessment of Significant Activation in Functional Magnetic Resonance Imaging (fMRI): Use of a Cluster‐Size Threshold , 1995, Magnetic resonance in medicine.
[5] Alan C. Evans,et al. A Three-Dimensional Statistical Analysis for CBF Activation Studies in Human Brain , 1992, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[6] Keith J. Worsley,et al. The Geometry of Random Images , 1996 .
[7] P. Roland,et al. Three‐dimensional analysis of clustered voxels in 15O‐butanol brain activation images , 1993 .
[8] TheodoridisYannis,et al. Topological relations in the world of minimum bounding rectangles , 1995 .
[9] Karl J. Friston,et al. Tests for Distributed, Nonfocal Brain Activations , 1995, NeuroImage.
[10] Karl J. Friston,et al. Statistical parametric maps in functional imaging: A general linear approach , 1994 .
[11] Jean-Baptiste Poline,et al. Analysis of individual brain activation maps using hierarchical description and multiscale detection , 1994, IEEE Trans. Medical Imaging.
[12] Karl J. Friston,et al. A unified statistical approach for determining significant signals in images of cerebral activation , 1996, Human brain mapping.
[13] Nils J. Nilsson,et al. Artificial Intelligence , 1974, IFIP Congress.
[14] K. Worsley,et al. Local Maxima and the Expected Euler Characteristic of Excursion Sets of χ 2, F and t Fields , 1994, Advances in Applied Probability.
[15] Jan Kratochvíl,et al. String graphs requiring exponential representations , 1991, J. Comb. Theory, Ser. B.
[16] Terence R. Smith,et al. Algebraic approach to spatial reasoning , 1992, Int. J. Geogr. Inf. Sci..
[17] K. Worsley,et al. Boundary corrections for the expected Euler characteristic of excursion sets of random fields, with an application to astrophysics , 1995, Advances in Applied Probability.
[18] Jan Kratochvíl,et al. String graphs. II. recognizing string graphs is NP-hard , 1991, J. Comb. Theory, Ser. B.
[19] James F. Allen. Maintaining knowledge about temporal intervals , 1983, CACM.
[20] Karl J. Friston,et al. Assessing the significance of focal activations using their spatial extent , 1994, Human brain mapping.
[21] A. M. Hasofer,et al. Level Crossings for Random Fields , 1976 .
[22] J B Poline,et al. Analysis of Individual Positron Emission Tomography Activation Maps by Detection of High Signal-to-Noise-Ratio Pixel Clusters , 1993, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[23] Christos H. Papadimitriou,et al. The complexity of recognizing polyhedral scenes , 1985, 26th Annual Symposium on Foundations of Computer Science (sfcs 1985).
[24] Karl J. Friston,et al. Detecting Activations in PET and fMRI: Levels of Inference and Power , 1996, NeuroImage.
[25] J. Shaffer. Multiple Hypothesis Testing , 1995 .
[26] Eugene C. Freuder,et al. The Complexity of Some Polynomial Network Consistency Algorithms for Constraint Satisfaction Problems , 1985, Artif. Intell..
[27] A. M. Hasofer. Upcrossings of Random Fields , 1978 .
[28] M. Egenhofer,et al. Assessing the Consistency of Complete and Incomplete Topological Information , 1993 .