Joseph M. Francos

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All published works

Action	Title	Year	Authors
+ PDF Chat	UMERegRobust - Universal Manifold Embedding Compatible Features for Robust Point Cloud Registration	2024	Yuval Haitman Amit Efraim Joseph M. Francos
+	Mesh-RTUME: Universal Manifold Embedding for Estimating 3D Rigid Transformations of Surfaces	2024	Yuval Haitman Joseph M. Francos
+	Grassmannian Dimensionality Reduction Using Triplet Margin Loss for Ume Classification of 3d Point Clouds	2022	Yuval Haitman Joseph M. Francos Louis L. Scharf
+	DeepUME: Learning the Universal Manifold Embedding for Robust Point Cloud Registration	2021	Natalie Lang Joseph M. Francos
+	Geometry and Radiometry Invariant Matched Manifold Detection	2017	Ran Sharon Joseph M. Francos Rami R. Hagege
+ PDF Chat	Estimating the mean manifold of a deformable object from noisy observations	2016	Ziv Yavo Joseph M. Francos Ignacio Santamarı́a Louis L. Scharf
+	Geometry and radiometry invariant matched manifold detection and tracking	2016	Ran Sharon Erez Farhan Rami R. Hagege Joseph M. Francos
+ PDF Chat	Strongly Consistent Model Order Selection for Estimating 2-D Sinusoids in Colored Noise	2013	Mark Kliger Joseph M. Francos
+ PDF Chat	Strongly Consistent Estimation of the Sample Distribution of Noisy Continuous-Parameter Fields	2011	Shahar Z. Kovalsky Guy Cohen Joseph M. Francos
+	The rank of the covariance matrix of an evanescent field	2009	Mark Kliger Joseph M. Francos
+	Estimation of affine geometric transformations of several objects from global measurements	2009	Rami R. Hagege Joseph M. Francos
+	A random sets framework for error analysis in estimating geometric transformations &#x2014; a first order analysis	2008	Rami R. Hagege Joseph M. Francos
+	The Rank of the Covariance Matrix of an Evanescent Field	2008	Mark Kliger Joseph M. Francos
+	Strongly Consistent Model Order Selection for Estimating 2-D Sinusoids in Colored Noise	2008	Mark Kliger Joseph M. Francos
+	Estimation of orientation and affine transformations of a 3-dimensional object	2007	Ram Shallom Rami R. Hagege Joseph M. Francos
+ PDF Chat	Asymptotic normality of the sample mean and covariances of evanescent fields in noise	2007	Mark Kliger Joseph M. Francos
+	Orthogonal Decompositions Of Nonhomogeneous 2-D Random Fields	2005	Joseph M. Francos Amihai Meiri B. Porat
+	Asymptotic normality of the sample convariances of evanescent fields in noise	2005	Mark Kliger Joseph M. Francos
+	Parametric estimation of two-dimensional affine transformations [object recognition applications]	2004	Rami R. Hagege Joseph M. Francos
+ PDF Chat	Spectral representation and asymptotic properties of certain deterministic fields with innovation components	2003	Guy Cohen Joseph M. Francos
+	The accuracy of estimating the parameters of stationary processes	2002	Joseph M. Francos B. Friedlander
+	The polynomial phase difference operator for modeling of nonhomogeneous images	2002	Joseph M. Francos B. Friedlander

Common Coauthors

Coauthor	Papers Together
Rami R. Hagege	6
Mark Kliger	6
Yuval Haitman	3
B. Friedlander	2
Guy Cohen	2
Louis L. Scharf	2
Ran Sharon	2
Ignacio Santamarı́a	1
Amit Efraim	1
Natalie Lang	1
Ram Shallom	1
Shahar Z. Kovalsky	1
Amihai Meiri	1
Erez Farhan	1
B. Porat	1
Ziv Yavo	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	The prediction theory of stationary random fields. III. Fourfold Wold decompositions	1991	Tse-Pei Chiang	4
+ PDF Chat	Spectral representation and asymptotic properties of certain deterministic fields with innovation components	2003	Guy Cohen Joseph M. Francos	4
+	Spectral factorization of wide sense stationary processes on Z2	1986	H. Körezlioğlu Philippe Loubaton	4
+ PDF Chat	Prediction theory and fourier series in several variables. II	1961	Henry Helson D. B. Lowdenslager	4
+	Parametric estimation of two-dimensional affine transformations [object recognition applications]	2004	Rami R. Hagege Joseph M. Francos	3
+	Principal Manifolds and Nonlinear Dimension Reduction via Local Tangent Space Alignment	2002	Zhenyue Zhang Hongyuan Zha	3
+	Bartlett-type formulas for complex multivariate time series of mixed spectra	1996	Ta‐Hsin Li	2
+ PDF Chat	Learning Smooth Pattern Transformation Manifolds	2012	Esra Vural Pascal Frossard	2
+ PDF Chat	Time Series: Theory and Methods	1992	Eric R. Ziegel Peter J. Brockwell Richard A. Davis	2
+	Geometry and Radiometry Invariant Matched Manifold Detection	2017	Ran Sharon Joseph M. Francos Rami R. Hagege	2
+ PDF Chat	Estimation of Subspace Arrangements with Applications in Modeling and Segmenting Mixed Data	2008	Yi Ma Allen Y. Yang Harm Derksen Robert M. Fossum	2
+ PDF Chat	Determination of Discrete Spectrum in a Random Field	2003	Debasis Kundu Swagata Nandi	2
+	The estimation of frequency	1973	E. J. Hannan	2
+ PDF Chat	The Geometry of Algorithms with Orthogonality Constraints	1998	Alan Edelman T. A. Arias Steven T. Smith	2
+	A theory of hyperfinite processes: the complete removal of individual uncertainty via exact LLN	1998	Yeneng Sun	1
+	SOME PROPERTIES OF AUTOREGRESSIVE ESTIMATES FOR PROCESSES WITH MIXED SPECTRA	1990	Margaret Mackisack D. S. Poskitt	1
+ PDF Chat	Shape statistics in kernel space for variational image segmentation	2003	Daniel Cremers Timo Kohlberger Christoph Schnörr	1
+	Statistical Analysis of Stationary Time Series.	1958	G. M. Jenkins Ulf Grenander Meg A. Rosenblatt	1
+	Asymptotic normality of the sample convariances of evanescent fields in noise	2005	Mark Kliger Joseph M. Francos	1
+ PDF Chat	Sparse representations in unions of bases	2003	Rémi Gribonval Morten Nielsen	1
+ PDF Chat	On the largest principal angle between random subspaces	2005	Pierre-Antoine Absil Alan Edelman Plamen Koev	1
+	Bounds on packings of spheres in the Grassmann manifold	2002	Alexander Barg D. Yu. Nogin	1
+	Manopt, a Matlab toolbox for optimization on manifolds	2013	Nicolas Boumal Bamdev Mishra Pierre-Antoine Absil Rodolphe Sepulchre	1
+ PDF Chat	Model Selection for Sinusoids in Noise: Statistical Analysis and a New Penalty Term	2011	Boaz Nadler Aryeh Kontorovich	1
+ PDF Chat	Estimating the Dimension of a Model	1978	Gideon Schwarz	1
+	Jordan Measure and Riemann Integration	1933	Orrin Frink	1
+	UNIFORM CONVERGENCY FOR WEIGHTED PERIODOGRAM OF STATIONARY LINEAR RANDOM FIELDS	1995	Song He	1
+	Geometry and radiometry invariant matched manifold detection and tracking	2016	Ran Sharon Erez Farhan Rami R. Hagege Joseph M. Francos	1
+ PDF Chat	PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation	2017	Raffaelli Charles Hao Su Kaichun Mo Leonidas Guibas	1
+	Joint Normalization and Dimensionality Reduction on Grassmannian: A Generalized Perspective	2018	Tianci Liu Zelin Shi Yunpeng Liu	1
+	Grassmannian Learning: Embedding Geometry Awareness in Shallow and Deep Learning	2018	Jiayao Zhang Guangxu Zhu Robert W. Heath and Kaibin Huang	1
+	Number Theory	1971	Henri Cohen Kálmán Győry George E. Andrews	1
+ PDF Chat	Triangle-Net: Towards Robustness in Point Cloud Learning	2021	Chenxi Xiao Juan Wachs	1
+	de Gruyter Studies in Mathematics	2009	Carsten Carstensen G. Farkas Nicola Fusco Fritz Gesztesy Niels Jacob Zenghu Li Karl‐Hermann Neeb	1
+	An Introduction to Optimization on Smooth Manifolds	2023	Nicolas Boumal	1
+	Ideals, Varieties, and Algorithms: An Introduction to Computational Algebraic Geometry and Commutative Algebra, 3/e (Undergraduate Texts in Mathematics)	2007	David A. Cox John B. Little Donal O’Shea	1
+	Joint measurability and the one-way Fubini property for a continuum of independent random variables	2005	Peter J. Hammond Yeneng Sun	1
+ PDF Chat	On the semi-groups of isometries	1968	Ion Suciu	1
+	Stochastic Complexity in Statistical Inquiry	1998	J. Rissanen	1
+	A Course in Probability Theory	1974	Kai Lai Chung	1
+	Lectures on ergodic theory	1956	Paul R. Halmos	1
+	Uniform distribution of sequences	1974	L. Kuipers Harald Niederreiter	1
+	Linear operators. Part II. Spectral theory	2003	Nelson Dunford Jacob T. Schwartz	1
+	Geometric Optimization Methods for Adaptive Filtering	2013	Steven T. Smith	1
+ PDF Chat	3D ShapeNets: A deep representation for volumetric shapes	2015	Zhirong Wu Shuran Song Aditya Khosla Fisher Yu Linguang Zhang Xiaoou Tang Jianxiong Xiao	1
+ PDF Chat	Optimization techniques on Riemannian manifolds	1995	Steven J. Smith	1
+	On detection of the number of signals in presence of white noise	1986	L.C. Zhao P. R. Krishnaiah Zhidong Bai	1
+	On detection of the number of signals when the noise covariance matrix is arbitrary	1986	L.C. Zhao P. R. Krishnaiah Zhidong Bai	1
+	Estimation of Hidden Frequencies for 2D Stationary Processes	2001	Hao Zhang V. Mandrekar	1
+	Finding the Subspace Mean or Median to Fit Your Need	2014	Timothy Marrinan Bruce A. Draper J. Ross Beveridge Michael Kirby Chris Peterson	1