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79
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KI
2009
Springer
15 years 4 months ago
Comparing Two Approaches for the Recognition of Temporal Expressions
Temporal expressions are important structures in natural language. In order to understand text, temporal expressions have to be extracted and normalized. In this paper we present a...
Oleksandr Kolomiyets, Marie-Francine Moens
ICDM
2008
IEEE
110views Data Mining» more  ICDM 2008»
15 years 4 months ago
Start Globally, Optimize Locally, Predict Globally: Improving Performance on Imbalanced Data
Class imbalance is a ubiquitous problem in supervised learning and has gained wide-scale attention in the literature. Perhaps the most prevalent solution is to apply sampling to t...
David A. Cieslak, Nitesh V. Chawla
101
Voted
ICMCS
2008
IEEE
330views Multimedia» more  ICMCS 2008»
15 years 4 months ago
Automatic trademark detection and recognition in sport videos
In this paper we describe a system for automatic detection and recognition of trademarks in sports videos. We propose a compact representation of trademarks based on SIFT feature ...
Lamberto Ballan, Marco Bertini, Alberto Del Bimbo,...
ICPR
2008
IEEE
15 years 4 months ago
Subject-independent brain computer interface through boosting
This paper presents a subject-independent EEG (Electroencephalogram) classification technique and its application to a P300-based word speller. Due to EEG variations across subje...
Shijian Lu, Cuntai Guan, Haihong Zhang
ICRA
2007
IEEE
116views Robotics» more  ICRA 2007»
15 years 4 months ago
Using Boosted Features for the Detection of People in 2D Range Data
— This paper addresses the problem of detecting people in two dimensional range scans. Previous approaches have mostly used pre-defined features for the detection and tracking o...
Kai Oliver Arras, Óscar Martínez Moz...