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.

  • 29.11.2013 10:15–11:00
    HIIT seminar
    Exactum, B119
    Title
    Normalized Random Measures and Extensions
     
    Abstract
    The normalized random measure is a large class of random probability measures that has appealing properties and wide applications in Bayesian nonparametrics. In this talk I will review the Poisson process, completely random measures, and how to construct normalized random measure from them. I will then talk...
  • 28.11.2013 13:15–14:00
    HIIT seminar
    Exactum, CK111
    Title
    Min-Sum 2-Paths Problems
     
    Abstract
    An orientation of an undirected graph $G$ is a directed graph obtained by replacing each edge $\{u,v\}$ of $G$ by exactly one of the arcs $(u,v)$ or $(v,u)$.
     
    In the min-sum $2$-paths orientation problem, the input is an undirected graph $G$ and two ordered pairs $(s_1,t_1)$, $(s_2,t_2)$....
  • Towards Facilitating the Development of Monitoring Systems with Low-Cost Autonomous Mobile Robots

    Prof. Einoshin Suzuki, Kyushu University, Japan

    Abstract:

    I will present our ongoing work towards facilitating the development of monitoring systems with low cost autonomous mobile robots by unifying techniques from data mining and databases. Such a system is less invasive to privacy, more flexible to changes, and more focused in its observation. However, it is subject to major obstacles...

  • 20.11.2013 12:00–16:00
    Doctoral dissertation
    University of Helsinki Main Building, Hall 5, Fabianinkatu 33

    In many fields of science, researchers are keen to learn causal connections among quantities of interest. For instance, in medical studies doctors want to infer the effect of a new drug on the recovery from a particular disease, or economists may be interested in the effect of education on income.

    The preferred approach to causal inference is to carry...

  • Human and robot binaural sound source localization

    Karim Youssef

    Abstract:

    Abstract: With the growth of sound processing and intelligent systems technologies, it has become possible to endow robots and machines with human-like auditive capabilities. In this context, binaural audition emerges as a biologically-inspired and low-complexity sound processing domain, relying on signals captured by microphones emulating two ears. In this seminar, the focus will be on sound source...

  • 19.11.2013 14:15–15:00
    HIIT seminar
    Exactum, CK111
    Title: 
    Causal discovery with functional causal models: Different types of "independence"
     
    Abstract: 
    Recently a class of causal discovery methods based on functional causal models has been proposed, which, under certain conditions, is able to fully identify the causal structure. Generally speaking, those methods make use of additional...
  • 19.11.2013 14:15–15:00
    HIIT seminar
    Aalto University, TuAS Building, seminar room TU3

    Title: Human and robot binaural sound source localization

    Abstract:
    With the growth of sound processing and intelligent systems technologies, it has become possible to endow robots and machines with human-like auditive capabilities. In this context, binaural audition emerges as a biologically-inspired and low-complexity sound processing domain, relying on signals...

  • 15.11.2013 10:15–11:00
    HIIT seminar
    Exactum, B119
    Title
    Learning Chordal Markov Networks by Constraint Satisfaction
     
    Abstract
    We have investigated reducing the structure learning problem for Markov networks to various constraint satisfaction problems, and shown the resulting method to be competitive with an earlier stochastic local search method in finding good networks and also being capable of showing the...
  • 08.11.2013 10:15–11:00
    HIIT seminar
    Exactum, B119
    Title
    Knowledge Discovery in High Dimensional Data
     
    Abstract
    While data clustering has a long history and a large amount of research has been devoted to the development of numerous clustering techniques, significant challenges still remain. One of the most important of them is associated with high data dimensionality. A particular class of clustering algorithms...
  • Big data analytics for economic development

    Sunandan Chakraborty, New York University, US

    Abstract:

    The Web is a collection of vast and diverse datasets, like news articles, user posted articles, (e.g. blogs), social media (e.g. twitter), images, in addition to different governmental and non-governmental organization post structured data on their websites. My research is focused on building a generic big data analytics engine that can analyze parallel streams of diverse and noisy...

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