We propose a method for interpolation between eigenspaces. Techniques that represent observed patterns as multivariate normal distribution have actively been developed to make it r...
Finding the right agents in a large and dynamic network to provide the needed resources in a timely fashion, is a long standing problem. This paper presents a method for informati...
Abstract. We present a novel algorithm called DBSC, which finds subspace clusters in numerical datasets based on the concept of ”dependency”. This algorithm employs a depth-...
In real life, visual learning is supposed to be a continuous process. Humans have an innate facility to recognize objects even under less-than-ideal conditions and to build robust ...
We present two simple but effective smoothing techniqes for the standard language model (LM) approach to information retrieval [12]. First, we extend the unigram Dirichlet smoothi...