Campuses:

Talks

Date Title / Speaker Event
November 16, 2000 Measuring the Convexity of Shapes
Davi Geiger (New York University)
Image Analysis and High Level Vision
November 15, 2000 Tackling Visual Complexity by Statistical Learning and Stochastic Computing
Song Zhu (The Ohio State University)
Image Analysis and High Level Vision
November 15, 2000 What is the Space of Shapes and What Can We Do With It?
David Mumford (Brown University)
Image Analysis and High Level Vision
November 15, 2000 Shedding Light on Illumination
Peter Belhumeur (Yale University)
Image Analysis and High Level Vision
November 15, 2000 Local Symmetries and Segmentaton of Shapes
Jayant Shah (Northeastern University)
Image Analysis and High Level Vision
November 15, 2000 Statistical Shape Analysis in High-Level Vision
Ian Dryden (University of Nottingham)
Image Analysis and High Level Vision
November 14, 2000 Panel Discussion Image Analysis and High Level Vision
November 14, 2000 A Neural Architecture for Learning, Detecting and Recognizing Objects
Yali Amit (University of Chicago)
Image Analysis and High Level Vision
November 14, 2000 The Influence of High Level Vision on Early Visual Processing in the Brain
Tai-Sing Lee (Carnegie-Mellon University)
Image Analysis and High Level Vision
November 14, 2000 Neural and Psychophysical Aspects of Visual Shape Recognition
Irving Biederman (University of Southern California)
Image Analysis and High Level Vision
November 14, 2000 How Folds Cut a Scene
Steven Zucker (Yale University)
Image Analysis and High Level Vision
November 13, 2000 Order Parameters for Detecting Target Curves in Images: When Does High Level Knowledge Help?
Alan Yuille (The Smith-Kettlewell Eye Research Institute)
Image Analysis and High Level Vision
November 13, 2000 Unsupervised Learning of Models for Object Recognition
Pietro Perona (California Institute of Technology)
Image Analysis and High Level Vision
November 13, 2000 Coarse-to-Fine Object Detection
Donald Geman (University of Massachusetts)
Image Analysis and High Level Vision
November 13, 2000 Introduction
Fred Dulles (University of Minnesota, Twin Cities), Willard Miller Jr. (University of Minnesota, Twin Cities), Peter Olver (University of Minnesota, Twin Cities)
Image Analysis and High Level Vision
November 10, 2000 Scoliosis and Modelling the Spine
Roy Adler (IBM)
Scoliosis and Modelling the Spine - Roy Adler (IBM Watson Research Center)
November 03, 2000 Closing Remarks
Mark Johnson (Brown University), Sanjeev Khudanpur (Johns Hopkins University), Roni Rosenfeld (Carnegie-Mellon University)
Mathematical Foundations of Natural Language Modeling
November 02, 2000 Panel Discussion on Connections between Weighted Finite State Techniques and More Traditional Statistical Models Mathematical Foundations of Natural Language Modeling
November 02, 2000 Finite-State Language Modeling
Mehryar Mohri (AT&T Laboratories - Research)
Mathematical Foundations of Natural Language Modeling
November 02, 2000 Panel Discussion on Bayesian Techniques in Computational Models of Natural Language Mathematical Foundations of Natural Language Modeling
November 02, 2000 Markov Chain Monte Carlo and Bayesian Computation
Julian Besag (University of Washington)
Mathematical Foundations of Natural Language Modeling
November 01, 2000 Panel Discussion on Applications of EM Techniques Mathematical Foundations of Natural Language Modeling
November 01, 2000 Parser - Driven Language Modeling
Fred Jelinek (Johns Hopkins University)
Mathematical Foundations of Natural Language Modeling
November 01, 2000 Panel Discussion on Modeling Techniques for Combining Multiple Information Sources Mathematical Foundations of Natural Language Modeling
November 01, 2000 Maximum Entropy Techniques and Exponential Models in SLM/SCL
Sanjeev Khudanpur (Johns Hopkins University)
Mathematical Foundations of Natural Language Modeling
October 31, 2000 Panel Discussion on From Parsing to Text Understanding; What are the Real Challenges? Mathematical Foundations of Natural Language Modeling
October 31, 2000 Statistical Models for Natural Language Parsing
Michael Collins (AT&T Laboratories - Research)
Mathematical Foundations of Natural Language Modeling
October 31, 2000 An Introduction to Probabilistic Grammars and their Applications
Mark Johnson (Brown University)
Mathematical Foundations of Natural Language Modeling
October 31, 2000 Probabilistic Models in Computational Linguistics
Christopher Manning (Stanford University)
Mathematical Foundations of Natural Language Modeling
October 30, 2000 Data-Driven Semantic Language Modeling
Jerome Bellegarda (Apple Computer, Inc.)
Mathematical Foundations of Natural Language Modeling
October 30, 2000 An Accelerated Introduction to Statistical Language Modeling
Roni Rosenfeld (Carnegie-Mellon University)
Mathematical Foundations of Natural Language Modeling
October 30, 2000 Overview of SLM Applications
Harry Printz (IBM), Roni Rosenfeld (Carnegie-Mellon University)
Mathematical Foundations of Natural Language Modeling
October 30, 2000 Introduction
Fred Dulles (University of Minnesota, Twin Cities), Sanjeev Khudanpur (Johns Hopkins University), Willard Miller Jr. (University of Minnesota, Twin Cities)
Mathematical Foundations of Natural Language Modeling
October 27, 2000 Two-dimensional NMR inversion
Lalitha Venkataramanan (Schlumberger-Doll Research)
Two-Dimensional NMR Inversion - Lalitha Venkataranam (Schlumberger Doll Research)
October 20, 2000 Adaptive ENO-wavelets for Image Compression
Haomin Zhou (University of California, Los Angeles)
Image Processing and Low Level Vision
October 20, 2000 An Analysis of the Peron-Malik Scheme
Selim Esedoglu (University of Minnesota, Twin Cities)
Image Processing and Low Level Vision
October 20, 2000 Gabor-type Snakes
Nir Sochen (Tel Aviv University)
Image Processing and Low Level Vision
October 20, 2000 Segmentation Based on Distribution-free Statistics
Eric Pauwels (Centre for Mathematics and Information Science)
Image Processing and Low Level Vision
October 20, 2000 Cubical Homology Theory and Applications in Image Processing and Computer Vision
Madjid Allili (Georgia Institute of Technology)
Image Processing and Low Level Vision
October 20, 2000 Front-End Vision and Multiscale Image Analysis (a new tutorial book.)
Bart ter Haar Romeny (University Medical Center)
Image Processing and Low Level Vision
October 19, 2000 Tour

Daniel Kersten's Computational Vison Lab

Daniel Kersten (University of Minnesota, Twin Cities)
Image Processing and Low Level Vision
October 19, 2000 Image Inpainting and High Order PDE's in Image Processing
Marcelo Bertalmío (University of Minnesota, Twin Cities)
Image Processing and Low Level Vision
October 19, 2000 Some New Results on Optimality and Complexity of PDE-Based Segmentation Algorithms
Ilya Pollak (Purdue University)
Image Processing and Low Level Vision
October 19, 2000 Tree Approximation and Image Compression
Ingrid Daubechies (Princeton University)
Image Processing and Low Level Vision
October 19, 2000 Non-distorting Flattening for Virtual Colonoscopy
Steven Haker (Yale University)
Image Processing and Low Level Vision
October 18, 2000 Accommodation as a Low-Level Visual Cue
Stefano Soatto (University of California, Los Angeles)
Image Processing and Low Level Vision
October 18, 2000 Harmonic Analysis Perspective on Geometric Diffusions and Low level Vision
David Donoho (Stanford University)
Image Processing and Low Level Vision
October 18, 2000 Dynamic Shapes of Arbitrary Dimension: The Vector Distance Functions
Olivier Faugeras (Institut National de Recherche en Informatique Automatique (INRIA))
Image Processing and Low Level Vision
October 17, 2000 Variational Methods for Image Segmentation, Smoothing, Interpolation, Magnification, Stereo Matching, and Shape from Shading
Anthony Yezzi (Georgia Institute of Technology)
Image Processing and Low Level Vision
October 17, 2000 Modeling the Full Statistics of Local Image Patches
David Mumford (Brown University)
Image Processing and Low Level Vision
October 17, 2000 Geometrical Image Representations with Bandelets
Stephane Mallat (École Polytechnique)
Image Processing and Low Level Vision
October 17, 2000 Level Set/PDE Based Algorithms for Image restoration, Surface Interpolation, and PDE's on General Manifolds
Stanley Osher (University of California, Los Angeles)
Image Processing and Low Level Vision
October 16, 2000 Restoration and Reformatting of Motion Images
Donald McClure (Brown University)
Image Processing and Low Level Vision
October 16, 2000 Multiresolution Stochastic Models and Their Use in Modeling and Analysis of Random Processes and Fields
Alan Willsky (Massachusetts Institute of Technology)
Image Processing and Low Level Vision
October 16, 2000 A Level Set Framework for Active Contours and Mumford-Shah Segmentation
Tony Chan (University of California, Los Angeles)
Image Processing and Low Level Vision
October 16, 2000 Introduction
Fred Dulles (University of Minnesota, Twin Cities), Willard Miller Jr. (University of Minnesota, Twin Cities), Peter Olver (University of Minnesota, Twin Cities)
Image Processing and Low Level Vision
October 13, 2000 Visual Surfaces Representation in Human MT+ and SPL
Sheng He (University of Minnesota, Twin Cities)
IMA Minisymposium: Brain Imaging
October 13, 2000 Are fMRI Responses Localized to Sub-millimeter Functional Structures?
Seong Kim (University of Minnesota, Twin Cities), Kamil Ugurbil (University of Minnesota, Twin Cities)
IMA Minisymposium: Brain Imaging
October 13, 2000 Incoroporating Neurobiology into the Analysis of Brain Imaging Data
Randy Mcintosh (University of Toronto)
IMA Minisymposium: Brain Imaging
October 13, 2000 Analysis of Drug Effects on Spatial Patterns of Gene Expression in MR Neuroimaging and Microscopy
Nick Lange (McLean Hospital)
IMA Minisymposium: Brain Imaging
October 13, 2000 A Cognitive Neuroscience Perspective on Memory Development
Charles Nelson (University of Minnesota, Twin Cities)
IMA Minisymposium: Brain Imaging
October 12, 2000 Representative Brain Models for 3-D Brain Imaging
Jack Lancaster (University of Texas Health Science Center)
IMA Minisymposium: Brain Imaging
October 12, 2000 Computational Anatomy: An Emerging Discipline
Michael Miller (Johns Hopkins University)
IMA Minisymposium: Brain Imaging
October 12, 2000 A General Statistical Analysis for fMRI data
Keith Worsley (McGill University)
IMA Minisymposium: Brain Imaging
October 12, 2000 Quasi-conformal Flat Maps of the Human Cerebellum
Monica Hurdal (Florida State University)
IMA Minisymposium: Brain Imaging
October 12, 2000 Reflections on the Inverse EEG and MEG Problems
Olivier Faugeras (Institut National de Recherche en Informatique Automatique (INRIA))
IMA Minisymposium: Brain Imaging
October 12, 2000 Development and Applications of fMRI in Monkeys
Nikos Logothetis (Max-Planck-Institut für Biologische Kybernetik)
IMA Minisymposium: Brain Imaging
October 11, 2000 New Applications of Geometry to Analysis of Brain Imagery
Fred Bookstein (University of Washington)
IMA Minisymposium: Brain Imaging
October 11, 2000 Combining Information Across Subjects
William Eddy (Carnegie-Mellon University)
IMA Minisymposium: Brain Imaging
October 11, 2000 The Quantitative Evaluation of Functional Neuroimaging Experiments: The NPAIRS Data Analysis Framework
Stephen Strother (Minneapolis VA Medical Center)
IMA Minisymposium: Brain Imaging
October 11, 2000 A Frequency Localised Framework for Inference in fMRI
Partha Mitra (Alcatel-Lucent Technologies Bell Laboratories)
IMA Minisymposium: Brain Imaging
October 11, 2000 Spatiotemporal Brain Imaging: from the Microscopic to Systems Level
Anders Dale (Massachusetts General Hospital)
IMA Minisymposium: Brain Imaging
October 11, 2000 Introduction
Fred Dulles (University of Minnesota, Twin Cities), Daniel Kersten (University of Minnesota, Twin Cities), Willard Miller Jr. (University of Minnesota, Twin Cities)
IMA Minisymposium: Brain Imaging
October 06, 2000 The Media of the last Millenium by David Goldberg
David Goldberg (Xerox Corporation)
The Media of the Last Millennium - David Goldberg (Xerox Corporation)
September 29, 2000 Hierarchical Hybrid Control of Large Scale Multi-Agent Systems by Datta Godbole (MN65)
Datta Godbole (Honeywell)
Hierarchical Hybrid Control of Large Scale Multi-Agent Systems - Datta Godbole (Honeywell)
September 22, 2000 Discussion Mathematical Foundations of Speech Processing and Recognition
September 22, 2000 Gaussianization
Ramesh Gopinath (IBM)
Mathematical Foundations of Speech Processing and Recognition
September 22, 2000 Parameter Adaptation and Compensation in Designing Maximum A Posteriori Decision Rules for Automatic Speech Recognition
Chin-Hui Lee (Alcatel-Lucent Technologies Bell Laboratories)
Mathematical Foundations of Speech Processing and Recognition
September 21, 2000 Discussion Mathematical Foundations of Speech Processing and Recognition
September 21, 2000 Dimensionality Reduction in Machine Learning and Multimedia Processing
Lawrence Saul (AT&T Laboratories - Research)
Mathematical Foundations of Speech Processing and Recognition
September 21, 2000 Graphical Models and Applicability to the Speech Recognition Problem
Jeff Bilmes (University of Washington)
Mathematical Foundations of Speech Processing and Recognition
September 20, 2000 Discussion Mathematical Foundations of Speech Processing and Recognition
September 20, 2000 Semiparametric Filtering in Speech Processing
Benjamin Kedem (University of Maryland)
Mathematical Foundations of Speech Processing and Recognition
September 20, 2000 Robust Signal Representations for Automatic Speech Recognition
Richard Stern (Carnegie-Mellon University)
Mathematical Foundations of Speech Processing and Recognition
September 20, 2000 Speech Signal Representations in Speech Synthesis: Current trends and parallels in ASR
Michael Macon (Oregon Graduate Institute of Science & Technology)
Mathematical Foundations of Speech Processing and Recognition
September 19, 2000 Discussion Mathematical Foundations of Speech Processing and Recognition
September 19, 2000 Modelling Graph-based Observation Spaces for Segment-Based Speech Recognition
James Glass (Massachusetts Institute of Technology)
Mathematical Foundations of Speech Processing and Recognition
September 19, 2000 Switching Dynamic-System Models for Speech Articulation and Acoustics
Li Deng (Microsoft Research)
Mathematical Foundations of Speech Processing and Recognition
September 19, 2000 Segmental HMMs: Modelling Dynamics and Underlying Structure for Automatic Speech Recognition
Wendy Holmes (20/20/Speech, Ltd.)
Mathematical Foundations of Speech Processing and Recognition
September 18, 2000 Discussion Mathematical Foundations of Speech Processing and Recognition
September 18, 2000 Toward Quantitative Models of Human Speech Perception and Production Mechanisms
Abeer Alwan (University of California, Los Angeles)
Mathematical Foundations of Speech Processing and Recognition
September 18, 2000 The State of the Art in ASR (and Beyond?)
Steve Young (University of Cambridge)
Mathematical Foundations of Speech Processing and Recognition
September 18, 2000 Recognize Speech v/s Wreck a Nice Beach: The Mathematics of Automatic Speech Recognition
Sanjeev Khudanpur (Johns Hopkins University)
Mathematical Foundations of Speech Processing and Recognition
September 18, 2000 Introduction
Fred Dulles (University of Minnesota, Twin Cities), Willard Miller Jr. (University of Minnesota, Twin Cities), Mari Ostendorf (University of Washington)
Mathematical Foundations of Speech Processing and Recognition
September 15, 2000 Symmetry in Computer Vision
Peter Olver (University of Minnesota, Twin Cities)
Mathematical Methods in Speech and Image Analysis
September 14, 2000 Geometric Partial Differential Equations and Image Analysis Continued
Guillermo Sapiro (University of Minnesota, Twin Cities)
Mathematical Methods in Speech and Image Analysis
September 14, 2000 Geometric Partial Differential Equations and Image Analysis Continued
Guillermo Sapiro (University of Minnesota, Twin Cities)
Mathematical Methods in Speech and Image Analysis
September 14, 2000 Geometric Partial Differential Equations and Image Analysis
Guillermo Sapiro (University of Minnesota, Twin Cities)
Mathematical Methods in Speech and Image Analysis
September 13, 2000 An Introduction to Wavelets and Image Representation
Jianhong Shen (University of Minnesota, Twin Cities)
Mathematical Methods in Speech and Image Analysis
September 13, 2000 Probabilistic and Statistical Methods
Basilis Gidas (Brown University)
Mathematical Methods in Speech and Image Analysis

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