Helsinki ICT Research Events

This event feed aggregates content from the Research Events feeds from the Helsinki Institute for Information Technology HIIT, Aalto University Department of Computer Science, and the University of Helsinki Department of Computer Science.

  • 16.06.2014 13:15–14:00
    HIIT seminar
    Aalto University, Computer Science Building, lecture hall T2

    Abstract:
    Measures that quantify the importance of nodes and edges in networks are
    valuable in the analysis of various types of data, including social, biological,
    computer networks and more. With rare exceptions, the applicability of such
    measures to large datasets is hindered by the lack of fast algorithms for their
    computation.
    In...

  • 13.06.2014 14:00–15:00
    Guest lecture
    Exactum A114 (OIH B255)

    Welcome to Professor Paul Verschure Talk part of the HCI Helsinki Talk Series 

    "The distributed adaptive control theory of mind and brain: towards consciousness in the machine"

    Friday 13th June 14:00-15:00

    Kumpula Exactum A114

    Otaniemi Open Innovation House B255

    Dr. Paul F.M.J. Verschure (1962)...

  • 13.06.2014 12:00–14:00
    Doctoral dissertation
    University of Helsinki main building, lecture hall XV (Unioninkatu 34, 4th floor),

    Contemporary social scientists describe the current societal circumstances as the late modern era, which is characterized by an abundance of both options and uncertainties. Theorists sometimes associate these characteristics with the development of information and communication technologies (ICTs). Some argue that computer-mediated, networked...

  • 13.06.2014 10:15–10:15
    HIIT seminar
    Kumpula, Exactum B119

    Title: Tilted Variational Bayes

    Abstract: We present a novel method for approximate inference. Using some of the constructs from expectation propagation (EP), we derive a lower bound of the marginal likelihood in a similar fashion to variational Bayes (VB). The method combines some of the benefits of VB and EP: it can be used with light-tailed likelihoods (where traditional VB fails), and it provides a lower...

  • 13.06.2014 10:15–10:15
    HIIT seminar
    Kumpula, Exactum B119
    Title: Tilted Variational Bayes
     
    Abstract: We present a novel method for approximate inference. Using some of the constructs from expectation propagation (EP), we derive a lower bound of the marginal likelihood in a similar fashion to variational Bayes (VB). The method combines some of the benefits of VB and EP: it can be used with light-tailed likelihoods (where traditional VB...
  • 12.06.2014 10:15–10:15
    HIIT seminar
    Kumpula, Exactum B119

    Title: Data Visualization by Neighbor Embedding

    Abstract: Modern data analysis is not only massive but also complex in terms of various structural information. Visual representations and interaction techniques take advantage of the human eye's broad bandwidth pathway into the mind to allow users to see, explore, and understand large amounts of information in an efficient way. Therefore, data visualization is...

  • 12.06.2014 10:15–10:15
    HIIT seminar
    Kumpula, Exactum B119
    Title: Data Visualization by Neighbor Embedding
     
    Abstract: Modern data analysis is not only massive but also complex in terms of various structural information. Visual representations and interaction techniques take advantage of the human eye's broad bandwidth pathway into the mind to allow users to see, explore, and understand large amounts of information in an efficient way....
  • DNA pattern-assembly: introduction and recent breakthroughs.

    Dr. Shinnosuke Seki, Aalto University

    Abstract:

    Self-assembly is a process through which disorganized, relatively simple components autonomously coalesce according to local rules to form more complex target structures, in the absence of orders from an external global conductor. DNA self-assembly can produce various nanoscale structures experimentally, including regular arrays, fractal structures, simley faces, logic...

  • 09.06.2014 13:15–14:00
    HIIT seminar
    Aalto University, Computer Science Building, lecture hall T2

    Abstract:
    Self-assembly is a process through which disorganized, relatively simple components autonomously coalesce according to local rules to form more complex target structures, in the absence of orders from an external global conductor. DNA self-assembly can produce various nanoscale structures experimentally, including regular arrays, fractal structures, simley faces...

  • 06.06.2014 10:15–11:15
    HIIT seminar
    Kumpula, Exactum B119

    Title: High-Dimensional Incremental Divisive Clustering under Population Drift

    Abstract: Clustering is a central problem in data mining and statistical pattern recognition with a long and rich history. The advent of Big Data has introduced important challenges to existing clustering methods in the form of high-dimensional, high-frequency, time-varying streams of data. Up-to-date research on Big Data clustering...

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