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» Parallelizing Feature Selection
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119
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COLING
2010
14 years 10 months ago
Best Topic Word Selection for Topic Labelling
This paper presents the novel task of best topic word selection, that is the selection of the topic word that is the best label for a given topic, as a means of enhancing the inte...
Jey Han Lau, David Newman, Sarvnaz Karimi, Timothy...
145
Voted
ICIAP
2007
ACM
16 years 3 months ago
Appearance-based 3D object recognition with time-invariant features
In this paper we explore the interlink between temporally dense view-based object recognition and sparse image representations with local keypoints. The temporal component is an a...
Elisabetta Delponte, Nicoletta Noceti, Francesca O...
175
Voted
NEUROSCIENCE
2001
Springer
15 years 8 months ago
Neural Mechanisms for Representing Surface and Contour Features
Contours and surfaces are basic qualities which are processed by the visual system to aid the successful behavior of autonomous beings within the environment. There is increasing e...
Thorsten Hansen, Heiko Neumann
127
Voted
PAKDD
2010
ACM
167views Data Mining» more  PAKDD 2010»
15 years 7 months ago
Resource-Bounded Information Extraction: Acquiring Missing Feature Values on Demand
We present a general framework for the task of extracting specific information “on demand” from a large corpus such as the Web under resource-constraints. Given a database wit...
Pallika Kanani, Andrew McCallum, Shaohan Hu
131
Voted
CATE
2004
133views Education» more  CATE 2004»
15 years 5 months ago
Semi-Automatic Evaluation Features in Computer-assisted Essay Assessment
The role of assessment and evaluation has recently changed in a way which will have fundamental consequences in applying information and communication technologies (ICTs) to analy...
Tuomo Kakkonen, Niko Myller, Erkki Sutinen