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ICTAI
2007
IEEE
14 years 3 months ago
Dragon Toolkit: Incorporating Auto-Learned Semantic Knowledge into Large-Scale Text Retrieval and Mining
The majority of text retrieval and mining techniques are still based on exact feature (e.g. words) matching and unable to incorporate text semantics. Many researchers believe that...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
CHI
2008
ACM
14 years 9 months ago
Emotion rating from short blog texts
Being able to automatically perceive a variety of emotions from text alone has potentially important applications in CMC and HCI that range from identifying mood from online posts...
Alastair J. Gill, Darren Gergle, Robert M. French,...
JIIS
2002
168views more  JIIS 2002»
13 years 8 months ago
Hidden Markov Models for Text Categorization in Multi-Page Documents
In the traditional setting, text categorization is formulated as a concept learning problem where each instance is a single isolated document. However, this perspective is not appr...
Paolo Frasconi, Giovanni Soda, Alessandro Vullo
PRL
2008
118views more  PRL 2008»
13 years 8 months ago
Bayes Machines for binary classification
In this work we propose an approach to binary classification based on an extension of Bayes Point Machines. Particularly, we take into account the whole set of hypotheses that are...
Daniel Hernández-Lobato, José Miguel...
MIA
2010
104views more  MIA 2010»
13 years 3 months ago
Combining atlas based segmentation and intensity classification with nearest neighbor transform and accuracy weighted vote
In this paper, different methods to improve atlas based segmentation are presented. The first technique is a new mapping of the labels of an atlas consistent with a given intensit...
Michaël Sdika