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NLPRS
2001
Springer
15 years 11 months ago
Automatic Segmentation of Words using Syllable Bigram Statistics
We present a syllable bigram model for segmenting a Korean sentence into words and correcting word-spacing errors in the spelling checker. We evaluated the system’s performance ...
Seung-Shik Kang, Chong-Woo Woo
ACL
2012
13 years 9 months ago
Reducing Wrong Labels in Distant Supervision for Relation Extraction
In relation extraction, distant supervision seeks to extract relations between entities from text by using a knowledge base, such as Freebase, as a source of supervision. When a s...
Shingo Takamatsu, Issei Sato, Hiroshi Nakagawa
WACV
2008
IEEE
16 years 1 months ago
Background Subtraction for Temporally Irregular Dynamic Textures
In the traditional mixture of Gaussians background model, the generating process of each pixel is modeled as a mixture of Gaussians over color. Unfortunately, this model performs ...
Gerald Dalley, Joshua Migdal, W. Eric L. Grimson
ICIP
2005
IEEE
16 years 20 days ago
Sequence-level models for distortion-rate behaviour of compressed video
In this paper, two empirical models for the sequence-level distortion-rate performance of predictive video source encoding are proposed. They require very limited amount of empiri...
Ruly Lai-U Choi, Michel T. Ivrlac, Eckehard G. Ste...
COGSCI
2002
99views more  COGSCI 2002»
15 years 6 months ago
Learning words from sights and sounds: a computational model
This paper presents an implemented computational model of word acquisition which learns directly from raw multimodal sensory input. Set in an information theoretic framework, the ...
Deb Roy, Alex Pentland