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Workshop overview

Great advances have been made in the acquisition of image data, from conventional photography, CT scanning, and satellite imaging to thenow ubiquitous digital cameras embedded in cell phones and other wireless devices. Although the semantic understanding of the shapesand other objects appearing in images is effortless for human beings, the corresponding problem in machine perception - namely, automaticinterpretation via computer programs - remains a major open challenge in modern science. In fact, there are very few systems whose valuederives from the analysis rather than collection of image data, and this "semantic gap" impedes scientific and technological advances inmany areas, including automated medical diagnosis, robotics, industrial automation, and effective security and surveillance.In this CSLS Workshop, three distinguished experts in the field of Computational Vision and Image Analysis share their thoughts on thecurrent state of the art and future directions in the field.

Remark: This workshop was held on October 30, 2003 as part of the Computational Sciences Lecture Series (CSLS) at the University of Wisconsin-Madison.

Hierarchical designs for pattern recognition

By Prof. Donald Geman (Dept. of Applied Mathematics and Statistics and Center for Imaging Science,Johns Hopkins University, USA)

Slides of talk [PDF] (Not yet available.) | Video [WMV] | Video [MPG]

ABSTRACT: It is unlikely that complex problems in machine perception, such as scene interpretation, will yield directly to improved methodsof statistical learning. Some organizational framework is needed to confront the small amount of data relative to the large number ofpossible explanations, and to make sure that intensive computation is restricted to genuinely ambiguous regions. As an example, I willpresent a "twenty questions" approach to pattern recognition. The object of analysis is the computational process itself rather thanprobability distributions (Bayesian inference) or decision boundaries (statistical learning). Under mild assumptions, optimal strategiesexhibit a steady progression from broad scope coupled with low power to high power coupled with dedication to specificexplanations. Several theoretical results will be mentioned (joint work with Gilles Blanchard) as well as experiments in object detection(joint work with Yali Amit and Francois Fleuret).

Modeling and inference of dynamic visual processes

By Prof. Stefano Soatto (Department of Computer Science, University of California Los Angeles,USA)

Slides of talk [PDF] (Not yet available.) | Video [WMV]

ABSTRACT: "We see in order to move, and we move in order to see." Inthis expository talk, I will explore the role of vision as a sensor for interaction with physical space. Since the complexity of thephysical world is far superior to that of its measured images, inferring a generic representation of the scene is an intrinsicallyill-posed problem. However, the task becomes well-posed within the context of a specific control task. I will display recent results inthe inference of dynamical models of visual scenes for the purpose of motion control, shape visualization, rendering, and classification.

Computational anatomy and models for image analysis

By Prof. Michael Miller (Director of the Center for Imaging Science, The Seder Professor of Biomedical Engineering,Professor of Electrical and Computer Engineering, Johns Hopkins University,USA)

Slides of talk [PDF] (Not yet available.) | Video [WMV]

ABSTRACT: University Recent years have seen rapid advances in the mathematical specification of models for image analysis of humananatomy. As first described in "Computational Anatomy: An Emerging Discipline" (Grenander and Miller, Quarterly of Applied Mathematics,Vol. 56, 617-694, 1998), human anatomy is modelled as a deformable template, an orbit under the group action of infinite dimensionaldiffeomorphisms. In this talk, we will describe recent advances in CA,specifying a metric on the ensemble of images, and examine distances between elements of the orbits, "Group Actions, Homeomorphisms, andMatching: A General Framework" (Miller and Younes, Int. J. Comp. Vision Vol. 41, 61-84, 2001), "On the Metrics ofEuler-Lagrange Equations of Computational Anatomy (Annu. Rev. Biomed. Eng., Vol. 4, 375-405, 2002). Numerous resultswill be shown comparing shapes through this metric formulation of the deformable template, including results from disease testing on thehippocampus, and cortical structural and functional mapping.

Questions & Answers

what is math number
Tric Reply
x-2y+3z=-3 2x-y+z=7 -x+3y-z=6
Sidiki Reply
Need help solving this problem (2/7)^-2
Simone Reply
x+2y-z=7
Sidiki
what is the coefficient of -4×
Mehri Reply
-1
Shedrak
the operation * is x * y =x + y/ 1+(x × y) show if the operation is commutative if x × y is not equal to -1
Alfred Reply
An investment account was opened with an initial deposit of $9,600 and earns 7.4% interest, compounded continuously. How much will the account be worth after 15 years?
Kala Reply
lim x to infinity e^1-e^-1/log(1+x)
given eccentricity and a point find the equiation
Moses Reply
12, 17, 22.... 25th term
Alexandra Reply
12, 17, 22.... 25th term
Akash
College algebra is really hard?
Shirleen Reply
Absolutely, for me. My problems with math started in First grade...involving a nun Sister Anastasia, bad vision, talking & getting expelled from Catholic school. When it comes to math I just can't focus and all I can hear is our family silverware banging and clanging on the pink Formica table.
Carole
I'm 13 and I understand it great
AJ
I am 1 year old but I can do it! 1+1=2 proof very hard for me though.
Atone
hi
Adu
Not really they are just easy concepts which can be understood if you have great basics. I am 14 I understood them easily.
Vedant
find the 15th term of the geometric sequince whose first is 18 and last term of 387
Jerwin Reply
I know this work
salma
The given of f(x=x-2. then what is the value of this f(3) 5f(x+1)
virgelyn Reply
hmm well what is the answer
Abhi
If f(x) = x-2 then, f(3) when 5f(x+1) 5((3-2)+1) 5(1+1) 5(2) 10
Augustine
how do they get the third part x = (32)5/4
kinnecy Reply
make 5/4 into a mixed number, make that a decimal, and then multiply 32 by the decimal 5/4 turns out to be
AJ
how
Sheref
can someone help me with some logarithmic and exponential equations.
Jeffrey Reply
sure. what is your question?
ninjadapaul
20/(×-6^2)
Salomon
okay, so you have 6 raised to the power of 2. what is that part of your answer
ninjadapaul
I don't understand what the A with approx sign and the boxed x mean
ninjadapaul
it think it's written 20/(X-6)^2 so it's 20 divided by X-6 squared
Salomon
I'm not sure why it wrote it the other way
Salomon
I got X =-6
Salomon
ok. so take the square root of both sides, now you have plus or minus the square root of 20= x-6
ninjadapaul
oops. ignore that.
ninjadapaul
so you not have an equal sign anywhere in the original equation?
ninjadapaul
hmm
Abhi
is it a question of log
Abhi
🤔.
Abhi
I rally confuse this number And equations too I need exactly help
salma
But this is not salma it's Faiza live in lousvile Ky I garbage this so I am going collage with JCTC that the of the collage thank you my friends
salma
Commplementary angles
Idrissa Reply
hello
Sherica
im all ears I need to learn
Sherica
right! what he said ⤴⤴⤴
Tamia
hii
Uday
hi
salma
hi
Ayuba
Hello
opoku
hi
Ali
greetings from Iran
Ali
salut. from Algeria
Bach
hi
Nharnhar
A soccer field is a rectangle 130 meters wide and 110 meters long. The coach asks players to run from one corner to the other corner diagonally across. What is that distance, to the nearest tenths place.
Kimberly Reply
Jeannette has $5 and $10 bills in her wallet. The number of fives is three more than six times the number of tens. Let t represent the number of tens. Write an expression for the number of fives.
August Reply
What is the expressiin for seven less than four times the number of nickels
Leonardo Reply
How do i figure this problem out.
how do you translate this in Algebraic Expressions
linda Reply
why surface tension is zero at critical temperature
Shanjida
I think if critical temperature denote high temperature then a liquid stats boils that time the water stats to evaporate so some moles of h2o to up and due to high temp the bonding break they have low density so it can be a reason
s.
Need to simplify the expresin. 3/7 (x+y)-1/7 (x-1)=
Crystal Reply
. After 3 months on a diet, Lisa had lost 12% of her original weight. She lost 21 pounds. What was Lisa's original weight?
Chris Reply
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Source:  OpenStax, Computational sciences lecture series at uw-madison. OpenStax CNX. May 01, 2005 Download for free at http://cnx.org/content/col10277/1.5
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