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ANLP
2000
139views more  ANLP 2000»
14 years 11 months ago
A Hybrid Approach for Named Entity and Sub-Type Tagging
This paper presents a hybrid approach for named entity (NE) tagging which combines Maximum Entropy Model (MaxEnt), Hidden Markov Model (HMM) and handcrafted grammatical rules. Eac...
Rohini K. Srihari
IBPRIA
2003
Springer
15 years 3 months ago
Chromosome Classification Using Continuous Hidden Markov Models
Up-to-date results on the application of Markov models to chromosome analysis are presented. On the one hand, this means using continuous Hidden Markov Models (HMMs) instead of dis...
César Martínez, Héctor Garc&i...
PAMI
2000
121views more  PAMI 2000»
14 years 9 months ago
Discovery and Segmentation of Activities in Video
Matthew Brand, Vera Kettnaker
IROS
2007
IEEE
129views Robotics» more  IROS 2007»
15 years 4 months ago
Representability of human motions by factorial hidden Markov models
— This paper describes an improved methodology for human motion recognition and imitation based on Factorial Hidden Markov Models (FHMM). Unlike conventional Hidden Markov Models...
Dana Kulic, Wataru Takano, Yoshihiko Nakamura
ICMCS
2005
IEEE
102views Multimedia» more  ICMCS 2005»
15 years 3 months ago
A Probabilistic Framework for TV-News Stories Detection and Classification
In this paper we face the problem of partitioning the news videos into stories, and of their classification according to a predefined set of categories. In particular, we propose ...
Francesco Colace, Pasquale Foggia, Gennaro Percann...