In reinforcement learning, it is a common practice to map the state(-action) space to a different one using basis functions. This transformation aims to represent the input data i...
This paper presents an algorithm for inferring a Structured Hidden Markov Model (S-HMM) from a set of sequences. The S-HMMs are a sub-class of the Hierarchical Hidden Markov Model...
We present in this paper a novel object tracking system based on 3D contour models. For this purpose, we integrate two complimentary likelihoods, defined on local color statistics...
This paper presents findings from a longitudinal field study of web-design undertaken in a webdevelopment company. The main contribution is a comparison of some early predictions ...
This case study analyses a multiyear ERP (SAP R/3) implementation project in a global company from perspectives of conflicts and problems the project faced. The paper reports on t...