Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
In this paper, we present results from a study of mobile ticketing service adoption in public transportation. The theoretical background of the study is based on technology adoptio...
Niina Mallat, Matti Rossi, Virpi Kristiina Tuunain...
This paper introduces a hierarchical Markov model that can learn and infer a user's daily movements through the commue model uses multiple levels of abstraction in order to b...
Models of bags of words typically assume topic mixing so that the words in a single bag come from a limited number of topics. We show here that many sets of bag of words exhibit a...
Current approaches to K Nearest Neighbor (KNN) search in mobile sensor networks require certain kind of indexing support. This index could be either a centralized spatial index or...