Hidden Markov Models (HMMs) are increasingly being used in computer vision for applications such as: gesture analysis, action recognition from video, and illumination modeling. Th...
Abstract. Recently, on-line adaptation of binary classifiers for tracking have been investigated. On-line learning allows for simple classifiers since only the current view of the ...
Achieving high performance under a peak temperature limit is a first-order concern for VLSI designers. This paper presents a new model of a thermally-managed system, where a stoch...
We investigate methods for planning in a Markov Decision Process where the cost function is chosen by an adversary after we fix our policy. As a running example, we consider a rob...
H. Brendan McMahan, Geoffrey J. Gordon, Avrim Blum
This paper deals with theoretical problems found in the work that is being carried out for annotating semantic roles in the Basque Dependency Treebank (BDT). We will present the re...