Error Correcting Output Codes (ECOC) represent a successful framework to deal with multi-class categorization problems based on combining binary classifiers. In this paper, we pre...
Real-time histogram specification methods aims to find a continuous function that transforms a source image to match a target distribution with the highest possible degree of accu...
We present a framework called Semantic Streams that allows users to pose declarative queries over semantic interpretations of sensor data. For example, instead of querying raw magn...
Principal Component Analysis (PCA) has been widely used to extract features for pattern recognition problems such as object recognition. Oliva and Torralba used “spatial envelop...
Though polarity classification has been extensively explored at various text levels and domains, there has been only comparatively little work looking into topic-related polarity c...