The design of feature spaces for local image descriptors is an important research subject in computer vision due to its applicability in several problems, such as visual classifi...
In this paper, we present the AutoCat system for product classification. AutoCat uses a vector space model, modified to consider product attributes unavailable in traditional docu...
The curvature scale space (CSS) technique, which is also part of the MPEG-7 standard is a robust method to describe complex shapes.The central idea is to analyze the curvature of ...
Stephan Kopf, Thomas Haenselmann, Wolfgang Effelsb...
Sentiment classification aims to automatically predict sentiment polarity (e.g., positive or negative) of users publishing sentiment data (e.g., reviews, blogs). Although traditio...
In this paper, we describe a comparative study on techniques of feature transformation and classification to improve the accuracy of automatic text classification. The normalizati...