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ACS
2004
15 years 6 months ago
A Categorical Approach to Threshold Agent Networks
Threshold agent networks (TANs) constitute a discretized modification of threshold (also known as neural) networks that are appropriate for modeling computer simulations. In this p...
George Voutsadakis
COLING
2002
15 years 6 months ago
Can Subcategorization Help a Statistical Dependency Parser?
Today there is a relatively large body of work on automatic acquisition of lexicosyntactical preferences (subcategorization) from corpora. Various techniques have been developed t...
Daniel Zeman
PR
2007
136views more  PR 2007»
15 years 6 months ago
Shadow compensation in 2D images for face recognition
Illumination variation that occurs on face images degrades the performance of face recognition. In this paper, we propose a novel approach to handling illumination variation for f...
Sang-Il Choi, Chunghoon Kim, Chong-Ho Choi
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
EMNLP
2010
15 years 4 months ago
Minimum Error Rate Training by Sampling the Translation Lattice
Minimum Error Rate Training is the algorithm for log-linear model parameter training most used in state-of-the-art Statistical Machine Translation systems. In its original formula...
Samidh Chatterjee, Nicola Cancedda
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