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» Learning Models for Object Recognition
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IJON
2011
186views more  IJON 2011»
14 years 6 months ago
Discriminative structure selection method of Gaussian Mixture Models with its application to handwritten digit recognition
, Yunde Jia Model structure selection is currently an open problem in modeling data via Gaussian Mixture Models (GMM). This paper proposes a discriminative method to select GMM st...
Xuefeng Chen, Xiabi Liu, Yunde Jia
ICPR
2004
IEEE
16 years 4 months ago
A Strongly Coupled Architecture for Contextual Object and Scene Identification
The context-centered approach to object detection and recognition is based on the intuition that the contextual information of real-world scenes provides relevant information for ...
James J. Clark, Tina Ehtiati
ICCV
1998
IEEE
16 years 5 months ago
View-Based Object Matching
W e introduce a novel view-based object representation, called the saliency map graph (SMG), which captures the salient regions of an object view at multiple scales using a wavele...
Ali Shokoufandeh, Ivan Marsic, Sven J. Dickinson
WACV
2012
IEEE
13 years 10 months ago
Simultaneous inference of activity, pose and object
Human movements are important cues for recognizing human actions, which can be captured by explicit modeling and tracking of actor or through space-time low-level features. Howeve...
Furqan M. Khan, Vivek Kumar Singh, Ram Nevatia
AIHC
2007
Springer
15 years 9 months ago
Audio-Visual Spontaneous Emotion Recognition
Automatic multimodal recognition of spontaneous emotional expressions is a largely unexplored and challenging problem. In this paper, we explore audio-visual emotion recognition in...
Zhihong Zeng, Yuxiao Hu, Glenn I. Roisman, Zhen We...