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Jose A. Costa
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2000 – 2009
- 2007
- [p2]Neal Patwari, Alfred O. Hero III, Jose A. Costa:
Learning Sensor Location from Signal Strength and Connectivity. Secure Localization and Time Synchronization for Wireless Sensor and Ad Hoc Networks 2007: 57-81 - 2006
- [j2]Jose A. Costa, Neal Patwari, Alfred O. Hero III:
Distributed weighted-multidimensional scaling for node localization in sensor networks. ACM Trans. Sens. Networks 2(1): 39-64 (2006) - [c8]Raviv Raich, Jose A. Costa, Alfred O. Hero III:
On Dimensionality Reduction for Classification and its Application. ICASSP (5) 2006: 917-920 - [c7]Steve Grikschat, Jose A. Costa, Alfred O. Hero III, Olivier J. J. Michel:
Dual Rooted-Diffusions for Clustering and Classification on Manifolds. ICASSP (5) 2006: 937-940 - [c6]Christophe Vignat, Alfred O. Hero III, Jose A. Costa:
A Geometric Characterization of Maximum Rényi Entropy Distributions. ISIT 2006: 1822-1826 - [p1]Jose A. Costa, Alfred O. Hero III:
Determining Intrinsic Dimension and Entropy of High-Dimensional Shape Spaces. Statistics and Analysis of Shapes 2006: 231-252 - 2005
- [c5]Jose A. Costa, Neal Patwari, Alfred O. Hero III:
Achieving high-accuracy distributed localization in sensor networks. ICASSP (3) 2005: 641-644 - [c4]Jose A. Costa, Alfred O. Hero III:
Classification constrained dimensionality reduction. ICASSP (5) 2005: 1077-1080 - 2004
- [j1]Jose A. Costa, Alfred O. Hero III:
Geodesic entropic graphs for dimension and entropy estimation in manifold learning. IEEE Trans. Signal Process. 52(8): 2210-2221 (2004) - [c3]Jose A. Costa, Alfred O. Hero III:
Learning intrinsic dimension and intrinsic entropy of high-dimensional datasets. EUSIPCO 2004: 369-372 - [c2]Jose A. Costa, Alfred O. Hero III:
Manifold learning using Euclidean k-nearest neighbor graphs [image processing examples]. ICASSP (3) 2004: 988-991 - [c1]Jose A. Costa, Alfred O. Hero III:
Entropic graphs for intrinsic dimension estimation in manifold learning. ISIT 2004: 466
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