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SIGIR
2004
ACM
15 years 3 months ago
Focused named entity recognition using machine learning
In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...
Li Zhang, Yue Pan, Tong Zhang
GCB
1998
Springer
112views Biometrics» more  GCB 1998»
15 years 1 months ago
Combining diverse evidence for gene recognition in completely sequenced bacterial genomes
Analysis of a newly sequenced bacterial genome starts with identification of protein-coding genes. Functional assignment of proteins requires the exact knowledge of protein N-term...
Dmitrij Frishman, Andrey A. Mironov, Hans-Werner M...
ICCV
2011
IEEE
13 years 9 months ago
A Linear Subspace Learning Approach via Sparse Coding
Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...
Lei Zhang, Pengfei Zhu, Qinghu Hu, David Zhang
ASSETS
2006
ACM
15 years 3 months ago
Interactive tracking of movable objects for the blind on the basis of environment models and perception-oriented object recognit
In previous work we have presented a prototype of an assistant system for the blind that can be used for self-localization and interactive object identification of static objects ...
Andreas Hub, Tim Hartter, Thomas Ertl
ICDAR
2007
IEEE
15 years 4 months ago
Locating Charts from Scanned Document Pages
This paper presents our work on automatically locating charts from document pages, which is an important stage in the chart image recognition and understanding system being develo...
W. Huang, C.-L. Tan