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» Classifying Problems into Complexity Classes
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121
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IROS
2009
IEEE
141views Robotics» more  IROS 2009»
15 years 7 months ago
Robust on-line model-based object detection from range images
— A mobile robot that accomplishes high level tasks needs to be able to classify the objects in the environment and to determine their location. In this paper, we address the pro...
Bastian Steder, Giorgio Grisetti, Mark Van Loock, ...
111
Voted
SMC
2007
IEEE
118views Control Systems» more  SMC 2007»
15 years 7 months ago
One-class learning with multi-objective genetic programming
One-class classification naturally only provides one class of exemplars on which to construct the classification model. In this work, multiobjective genetic programming (GP) all...
Robert Curry, Malcolm I. Heywood
104
Voted
ICMCS
2006
IEEE
139views Multimedia» more  ICMCS 2006»
15 years 7 months ago
Automatic Semantic Annotation of Images using Spatial Hidden Markov Model
This paper presents a new spatial-HMM(SHMM)for automatically classifying and annotating natural images. Our model is a 2D generalization of the traditional HMM in the sense that b...
Feiyang Yu, Horace Ho-Shing Ip
100
Voted
ECCV
2004
Springer
15 years 6 months ago
Novelty Detection in Image Sequences with Dynamic Background
Abstract. We propose a new scheme for novelty detection in image sequences capable of handling non-stationary background scenarious, such as waving trees, rain and snow. Novelty de...
Fredrik Kahl, Richard I. Hartley, Volker Hilsenste...
86
Voted
ICIAR
2004
Springer
15 years 6 months ago
A Coarse-to-Fine Classification Scheme for Facial Expression Recognition
Abstract. In this paper, a coarse-to-fine classification scheme is used to recognize facial expressions (angry, disgust, fear, happiness, neutral, sadness and surprise) of novel ex...
Xiaoyi Feng, Abdenour Hadid, Matti Pietikäine...