We develop a method to detect erroneous interpretation results of user utterances by exploiting utterance histories of individual users in spoken dialogue systems that were deploy...
In this paper we propose a novel statistical language model to capture long-range semantic dependencies. Specifically, we apply the concept of semantic composition to the problem ...
We present a machine translation framework that can incorporate arbitrary features of both input and output sentences. The core of the approach is a novel decoder based on lattice...
- In this paper, we describe the usage of number of web pages found by search engines for business analysis. To realize this approach we created the GoogMeter application (www.goog...
Abstract. We present a novel approach for human gait recognition that inherently combines appearance and motion. Dynamic texture descriptors, Local Binary Patterns from Three Ortho...
Vili Kellokumpu, Guoying Zhao, Stan Z. Li, Matti P...