Jan Zahálka

Learn More
—The size and importance of visual multimedia collections grew rapidly over the last years, creating a need for sophisticated multimedia analytics systems enabling large-scale, interactive, and insightful analysis. These systems need to integrate the human's natural expertise in analyzing multimedia with the machine's ability to process large-scale data.(More)
In this paper we propose <i>New Yorker Melange</i>, an interactive city explorer, which navigates New York venues through the eyes of New Yorkers having a similar taste to the interacting user. To gain insight into New Yorkers' preferences and properties of the venues, a dataset of more than a million venue images and associated annotations has been(More)
A widely persisting interpretation of Occam's razor is that given two classifiers with the same training error, the simpler classifier is more likely to generalize better. Within a long-lasting debate in the machine learning community over Occam's razor, Domingos [1] rejects this interpretation and proposes that model complexity is only a confounding factor(More)
The goal of our work is to integrate conventional mRNA expression profiles with miRNA expressions using the knowledge of their validated or predicted interactions in order to improve class prediction in genetically determined diseases. The raw mRNA and miRNA expression features become enriched or replaced by new aggregated features that model the mRNA-miRNA(More)
This paper presents Blackthorn, an efficient interactive multimodal learning approach facilitating analysis of multimedia collections of 100 million items on a single high-end workstation. This is achieved by efficient data compression and optimizations to the interactive learning process. The compressed i-I64 data representation costs tens of bytes per(More)
—In this paper, we propose City Melange, an interactive and multimodal content-based venue explorer. Our framework matches the interacting user to the users of social media platforms exhibiting similar taste. The data collection integrates location-based social networks such as Foursquare with general multimedia sharing platforms such as Flickr or Picasa.(More)
In this paper, we present analytic quality (AQ), a novel paradigm for the design and evaluation of multimedia analysis methods. AQ complements the existing evaluation methods based on either machine-driven benchmarks or user studies. AQ includes the notion of user insight gain and the time needed to acquire it, both critical aspects of large-scale(More)
  • 1