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» Hierarchical Hidden Markov Models for Information Extraction
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IRFC
2010
Springer
15 years 6 months ago
Knowledge Modeling in Prior Art Search
This study explores the benefits of integrating knowledge representations in prior art patent retrieval. Key to the introduced approach is the utilization of human judgment availa...
Erik Graf, Ingo Frommholz, Mounia Lalmas, Keith va...
ACCV
2006
Springer
15 years 7 months ago
Markovian Framework for Foreground-Background-Shadow Separation of Real World Video Scenes
Abstract. In this paper we give a new model for foreground-background-shadow separation. Our method extracts the faithful silhouettes of foreground objects even if they have partly...
Csaba Benedek, Tamás Szirányi
WWW
2009
ACM
15 years 8 months ago
StatSnowball: a statistical approach to extracting entity relationships
Traditional relation extraction methods require pre-specified relations and relation-specific human-tagged examples. Bootstrapping systems significantly reduce the number of tr...
Jun Zhu, Zaiqing Nie, Xiaojiang Liu, Bo Zhang, Ji-...
JCB
2002
116views more  JCB 2002»
15 years 1 months ago
A Novel Approach to Remote Homology Detection: Jumping Alignments
We describe a new algorithm for protein classi cation and the detection of remote homologs. The rationale is to exploit both vertical and horizontal information of a multiple alig...
Rainer Spang, Marc Rehmsmeier, Jens Stoye
CVPR
2012
IEEE
13 years 3 months ago
Enhanced continuous sign language recognition using PCA and neural network features
In this work a Gaussian Hidden Markov Model (GHMM) based automatic sign language recognition system is built on the SIGNUM database. The system is trained on appearance-based feat...
Yannick L. Gweth, Christian Plahl, Hermann Ney