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93
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AI
2008
Springer
15 years 7 months ago
Verbs Speak Loud: Verb Categories in Learning Polarity and Strength of Opinions
In this work we show that verbs reliably represent texts when machine learning algorithms are used to learn opinions. We identify semantic verb categories that capture essential pr...
Marina Sokolova, Guy Lapalme
PCM
2007
Springer
114views Multimedia» more  PCM 2007»
15 years 7 months ago
Random Convolution Ensembles
A novel method for creating diverse ensembles of image classifiers is proposed. The idea is that, for each base image classifier in the ensemble, a random image transformation is g...
Michael Mayo
GECCO
2003
Springer
126views Optimization» more  GECCO 2003»
15 years 6 months ago
Coevolution and Linear Genetic Programming for Visual Learning
In this paper, a novel genetically-inspired visual learning method is proposed. Given the training images, this general approach induces a sophisticated feature-based recognition s...
Krzysztof Krawiec, Bir Bhanu
100
Voted
TKDE
2008
152views more  TKDE 2008»
15 years 22 days ago
SRDA: An Efficient Algorithm for Large-Scale Discriminant Analysis
Linear Discriminant Analysis (LDA) has been a popular method for extracting features that preserves class separability. The projection functions of LDA are commonly obtained by max...
Deng Cai, Xiaofei He, Jiawei Han
88
Voted
3DIM
2007
IEEE
15 years 7 months ago
Orientation of Image Sequences in a Point-based Environment Model
In this paper we propose a method to determine the exterior orientation of each frame of an intensity image sequence using prior knowledge of the scene stored in a pointbased envi...
Jan Böhm