Recently, there has been considerable interest in the automated recognition of affect from written and spoken language. In this paper, we investigate how information on a speakerā...
We present an approach that combines bag-of-words and spatial models to perform semantic and syntactic analysis for recognition of an object based on its internal appearance and i...
In this paper we introduce a statistical Named Entity recognizer (NER) system for the Hungarian language. We examined three methods for identifying and disambiguating proper nouns...
Recent advances in object recognition have emphasized the integration of intensity-derived features such as affine patches with associated geometric constraints leading to impressi...
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random ļ¬elds (MRFs) can automat...