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» Object Recognition Using Segmentation for Feature Detection
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ECCV
2004
Springer
14 years 9 months ago
A Statistical Model for General Contextual Object Recognition
We consider object recognition as the process of attaching meaningful labels to specific regions of an image, and propose a model that learns spatial relationships between objects....
Peter Carbonetto, Nando de Freitas, Kobus Barnard
CVPR
2005
IEEE
14 years 9 months ago
Generative versus Discriminative Methods for Object Recognition
Many approaches to object recognition are founded on probability theory, and can be broadly characterized as either generative or discriminative according to whether or not the di...
Ilkay Ulusoy, Christopher M. Bishop
IROS
2007
IEEE
157views Robotics» more  IROS 2007»
14 years 2 months ago
A spatio-temporal probabilistic model for multi-sensor object recognition
— This paper presents a general framework for multi-sensor object recognition through a discriminative probabilistic approach modelling spatial and temporal correlations. The alg...
Bertrand Douillard, Dieter Fox, Fabio T. Ramos
CIVR
2004
Springer
186views Image Analysis» more  CIVR 2004»
13 years 11 months ago
Video Segmentation Using Hidden Markov Model with Multimodal Features
In this paper, a video segmentation algorithm based on Hidden Markov Model classifier with multimodal feature is proposed. By using Hidden Markov Model classifier with both audio a...
Tae Meon Bae, Sung Ho Jin, Yong Man Ro
ICDE
2007
IEEE
198views Database» more  ICDE 2007»
14 years 2 months ago
A Novel Visual Feature Extraction and Its Application in Vowel Recognition
Speech recognition techniques have been developed dramatically in recent years. Nevertheless, errors caused by environmental noise are still a serious problem in recognition. Empl...
Vahideh Sadat Sadeghi, Khashayar Yaghmaie