We derive a probabilistic framework for robust, real-time, visual tracking of previously unseen objects from a moving camera. The tracking problem is handled using a bag-of-pixels ...
Methods for controlling the adaptation process of an on-line handwritten character recognizer are studied. The classifier is based on the -nearest neighbor rule and it is adapted...
Vuokko Vuori, Jorma Laaksonen, Erkki Oja, Jari Kan...
Online stores providing subscription services need to extend user subscription periods as long as possible to increase their profits. Conventional recommendation methods recommend...
Algorithms for tracking concept drift are important for many applications. We present a general method based on the Weighted Majority algorithm for using any online learner for co...
Abstract. While injecting fault during training has long been demonstrated as an effective method to improve fault tolerance of a neural network, not much theoretical work has been...