Book Publishing Seminar: The Future of Domestic Photography

Event type: 
Event
Event time: 
2011-03-30 14:00 to 16:00
Place: 
Finnish Museum of Photography (Suomen valokuvataiteen museo), Kaapelitehdas, Tallberginkatu 1G, 00180 Helsinki
Description: 

Welcome to a public seminar on the future of domestic digital photography. The seminar celebrates the publication of the book

From snapshot to social media: the changing picture of domestic photography (Springer 2011)

by Risto Sarvas and David M Frohlich. The book is pioneering work in combining the technically oriented computer science work on photography with more traditional studies of domestic photography. The book is also the first to chart a socio-technical history of domestic and snapshot photography from the invention of photography in 1839 to current and future trends in the 21st century.

In the seminar we will hear two keynote presentations. Elina Heikka will discuss domestic photography from the perspective of traditional photography, and Markus Huttunen will talk about digital media from the perspective of business strategies. Following these keynotes the two authors will present the central messages and points of the book. After these talks there is time reserved for a general discussion. The speakers and their affiliations are:

Elina Heikka, Director of the Finnish Museum of Photography
Markus Huttunen, Managing Director and Partner of Magenta Advisory Ltd
David M Frohlich, Director of Digital World Research Centre, University of Surrey, UK
Risto Sarvas, Research Scientist at the Helsinki Institute for Information Technology HIIT, Aalto University

Please confirm your attendance by sending an email to risto.sarvas(at)hiit.fi by March 28th. Also, do not hesitate to contact Risto Sarvas for any questions related to the event or the book.

Follow the book on Facebook!

Black Swan vs. Lionel Messi: Measuring the Information Capacity of the Human Motor System with an Extended Framework

Lecturer : 
Teemu Roos and Antti Oulasvirta
Event type: 
HIIT seminar
Event time: 
2011-03-28 13:15 to 14:00
Place: 
Computer Science Building, Hall T2
Description: 

 

Our next talk for HIIT Otaniemi seminar series will be a joint talk by Teemu Roos and Antti Oulasvirta from the Helsinki Institute for Information Technology HIIT.
 
All ICS@Aalto researchers are also warmly welcome to attend the seminar!
 
HIIT Otaniemi Seminar, Monday March 28, 13:15
Location: Computer Science Building, Hall T2
 
Teemu Roos
Helsinki Institute for Information Technology HIIT
University of Helsinki
Department of Computer Science
 
Antti Oulasvirta
Helsinki Institute for Information Technology HIIT
 
Title:
Black Swan vs. Lionel Messi: Measuring the Information Capacity of the Human Motor System with an Extended Framework
 
Abstract:
Fitts’ law is a fundamental tool in understanding the capacity of the human motor system. It measures information throughput in terms of the tradeoff between the speed and accuracy of motor responses. Although immensely popular, the paradigm in which Fitts’ law is the principal keystone is confined to relatively simple responses in strictly prescribed stimulus response conditions. Our goal is to generalize the framework into completely unconstrained movement. The proposed new metric is based on a subject’s ability to accurately reproduce a learned movement pattern. It can accommodate recorded movement of any duration and composition, and involving contributions of any part of the body. We demonstrate the proposed method by analyzing publicly available motion capture data. Possible applications include human-computer interaction, sports science, and clinical diagnosis.
 
Welcome! 
 
-- 
Mehmet Gönen
Helsinki Institute for Information Technology HIIT
Department of Information and Computer Science
Aalto University School of Science
 

 

Segmented Nestedness in Binary Data

Lecturer : 
Esa Junttila
Event type: 
HIIT seminar
Event time: 
2011-03-25 10:15 to 11:00
Place: 
Kumpula Exactum C222
Description: 

Talk announcement:
HIIT Seminar Kumpula, Friday March 25 10:15, Exactum C222

SPEAKER:
Esa Junttila
University of Helsinki

TITLE:
Segmented Nestedness in Binary Data

ABSTRACT:
Given a data matrix, we can reveal its hidden structure
by permuting the rows and columns. A binary dataset is
nested if every row is a subset or superset of every other row.
Our goal is to develop automatic methods for finding whether
a dataset can be described as a combination of k nested patterns,
even if the data contains noise and errors.
Recognizing k-nestedness takes polynomial time in noise-free case,
but finding a closest k-nested matrix is NP-hard.
We propose heuristic algorithms for k-nestedness
and an MDL-based model for selecting k. Experimental
results show that k-nestedness exists in real-world
datasets, such as in occurrences of mammals in Europe.


Welcome!
--Matti Järvisalo

Digital world in digital era

Lecturer : 
Valentin Polishchuk
Event type: 
HIIT seminar
Event time: 
2011-03-18 10:15 to 11:00
Place: 
Kumpula Exactum C222
Description: 
Talk announcement:
HIIT Seminar Kumpula, Friday March 18 10:15, Exactum C222

SPEAKER:
Valentin Polishchuk
University of Helsinki & HIIT

TITLE:
Digital world in digital era

ABSTRACT:
I will talk about discretization in CS, projecting it on our
current research themes -- how the content of geometer's toolbox
changed from ruler and compass to brooms and bulbs.
Joint thoughts with David Kirkpatrick, Joseph Mitchell, Mikko Sysikaski


Welcome!
--Matti Järvisalo

From Black and White to Full Colour: Extending Redescription Mining Outside the Boolean World

Lecturer : 
Esther Galbrun
Event type: 
HIIT seminar
Event time: 
2011-03-11 10:15 to 11:00
Place: 
Kumpula Exactum C222
Description: 
Talk announcement:
HIIT Seminar Kumpula, Friday March 11 10:15, Exactum C222

SPEAKER:
Esther Galbrun
University of Helsinki

TITLE:
From Black and White to Full Colour: 
Extending Redescription Mining Outside the Boolean World

ABSTRACT:
Redescription mining is a powerful data analysis tool that is used to
find multiple descriptions of the same entities.  However, current
redescription mining methods cannot handle other than Boolean data,
this makes discretization a prerequisite, entailing a possibly harmful
loss of information.  We extend redescription mining to real-valued
data using a surprisingly simple and efficient approach and give an
example of application, for an important task in biology known as
niche-finding.

Redescription mining is a powerful data analysis tool that is used to find 
multiple descriptions of the same entities.  The current redescription 
mining methods cannot handle other than Boolean data, making 
discretization a prerequisite when using non-Boolean data.

We extend redescription mining to real-valued data using a surprisingly 
simple and efficient approach. We demonstrate our algorithm with a 
real-world task of niche-finding, an important problem in biology.

Joint work with Pauli Miettinen


Welcome!
--Matti Järvisalo

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