We consider the question of lookahead in the list update problem: What improvement can be achieved in terms of competitiveness if an on-line algorithm sees not only the present re...
This paper analyses the computational complexity and stability of an online algorithm recently proposed for learning rotations. The proposed algorithm involves multiplicative upda...
A number of updates for density matrices have been developed recently that are motivated by relative entropy minimization problems. The updates involve a softmin calculation based...
With today's demands for continuous availability of mission-critical databases, on-line reorganization is a necessity. In this paper we present a new on-Iine reorganization a...
This paper proposes an appearance generative mixture model based on key frames for meanshift tracking. Meanshift tracking algorithm tracks object by maximizing the similarity betwe...