—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
The analysis of gene expression time series obtained from microarray experiments can be effectively exploited to understand a wide range of biological phenomena from the homeostat...
Word space models, in the sense of vector space models built on distributional data taken from texts, are used to model semantic relations between words. We argue that the high dim...
Anecdotal evidence suggests that story-level information is important for the speech component of video retrieval. In this paper we perform a systematic examination of the combina...
This paper explores the marketing of daily consumer goods in a pilot Web-based supermarket, in which no regular customers existed from among 65 registered ones at the end of the p...
Helena Ahola, Harri Oinas-Kukkonen, Timo Koivum&au...