Learning intrinsic dimension and intrinsic entropy of high-dimensional datasets. - Jose A. Costa; Alfred O. Hero III (EUSIPCO, 2004)

Manifold learning using Euclidean k-nearest neighbor graphs [image processing examples]. - Jose A. Costa; Alfred O. Hero III (ICASSP (3), 2004)

Entropic graphs for intrinsic dimension estimation in manifold learning. - Jose A. Costa; Alfred O. Hero III (ISIT, 2004)

Geodesic entropic graphs for dimension and entropy estimation in manifold learning. - Jose A. Costa; Alfred O. Hero III (IEEE Trans. Signal Process., 2004)

Classification constrained dimensionality reduction. - Jose A. Costa; Alfred O. Hero III (ICASSP (5), 2005)

Achieving high-accuracy distributed localization in sensor networks. - Jose A. Costa; Neal Patwari; Alfred O. Hero III (ICASSP (3), 2005)

Determining Intrinsic Dimension and Entropy of High-Dimensional Shape Spaces. - Jose A. Costa; Alfred O. Hero III (Statistics and Analysis of Shapes, 2006)

Dual Rooted-Diffusions for Clustering and Classification on Manifolds. - Steve Grikschat; Jose A. Costa; Alfred O. Hero III; Olivier J. J. Michel (ICASSP (5), 2006)

On Dimensionality Reduction for Classification and its Application. - Raviv Raich; Jose A. Costa; Alfred O. Hero III (ICASSP (5), 2006)

A Geometric Characterization of Maximum Rényi Entropy Distributions. - Christophe Vignat; Alfred O. Hero III; Jose A. Costa (ISIT, 2006)

Distributed weighted-multidimensional scaling for node localization in sensor networks. - Jose A. Costa; Neal Patwari; Alfred O. Hero III (ACM Trans. Sens. Networks, 2006)

Learning Sensor Location from Signal Strength and Connectivity. - Neal Patwari; Alfred O. Hero III; Jose A. Costa (Secure Localization and Time Synchronization for Wireless Sensor and Ad Hoc Networks, 2007)