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CIKM
2008
Springer
13 years 10 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan
IEEEPACT
2006
IEEE
14 years 1 months ago
Region array SSA
Static Single Assignment (SSA) has become the intermediate program representation of choice in most modern compilers because it enables efficient data flow analysis of scalars an...
Silvius Rus, Guobin He, Christophe Alias, Lawrence...
INFORMATICALT
2008
124views more  INFORMATICALT 2008»
13 years 8 months ago
Hierarchical Adaptive Clustering
This paper studies an adaptive clustering problem. We focus on re-clustering an object set, previously clustered, when the feature set characterizing the objects increases. We prop...
Gabriela Serban, Alina Campan
VC
2010
168views more  VC 2010»
13 years 2 months ago
From sentence to emotion: a real-time three-dimensional graphics metaphor of emotions extracted from text
This paper presents a novel concept: a graphical representation of human emotion extracted from text sentences. The major contributions of this paper are the following. First, we p...
Stéphane Gobron, Junghyun Ahn, Georgios Pal...
PERCOM
2005
ACM
14 years 7 months ago
Adaptive Temporal Radio Maps for Indoor Location Estimation
In this paper, we present a novel method to adapt the temporal radio maps for indoor location determination by offsetting the variational environmental factors using data mining t...
Jie Yin, Qiang Yang, Lionel M. Ni