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» Japanese Word Segmentation by Hidden Markov Model
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EMNLP
2010
15 years 4 months ago
An Efficient Algorithm for Unsupervised Word Segmentation with Branching Entropy and MDL
This paper proposes a fast and simple unsupervised word segmentation algorithm that utilizes the local predictability of adjacent character sequences, while searching for a leaste...
Valentin Zhikov, Hiroya Takamura, Manabu Okumura
HAPTICS
2002
IEEE
15 years 11 months ago
Building a Task Language for Segmentation and Recognition of User Input to Cooperative Manipulation Systems
We present the results of using Hidden Markov Models (HMMs) for automatic segmentation and recognition of user motions. Previous work on recognition of user intent with man/machin...
C. Sean Hundtofte, Gregory D. Hager, Allison M. Ok...
ICDAR
2009
IEEE
15 years 3 months ago
Stochastic Segment Modeling for Offline Handwriting Recognition
In this paper, we present a novel approach for incorporating structural information into the hidden Markov Modeling (HMM) framework for offline handwriting recognition. Traditiona...
Premkumar Natarajan, Krishna Subramanian, Anurag B...
HAPTICS
2002
IEEE
15 years 11 months ago
Teaching to Write Japanese Characters Using a Haptic Interface
Haptic Interfaces have been used as cooperative systems to reproduce and simulate human actions. The Haptic Interface (HI) can be used as a tool capable of interacting dynamically...
Jorge Solis, Carlo Alberto Avizzano, Massimo Berga...
BMCBI
2006
102views more  BMCBI 2006»
15 years 6 months ago
Protein secondary structure prediction for a single-sequence using hidden semi-Markov models
Background: The accuracy of protein secondary structure prediction has been improving steadily towards the 88% estimated theoretical limit. There are two types of prediction algor...
Zafer Aydin, Yucel Altunbasak, Mark Borodovsky