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BMVC
2010
15 years 4 months ago
Evaluation of dimensionality reduction methods for image auto-annotation
Image auto-annotation is a challenging task in computer vision. The goal of this task is to predict multiple words for generic images automatically. Recent state-of-theart methods...
Hideki Nakayama, Tatsuya Harada, Yasuo Kuniyoshi
MVA
2008
305views Computer Vision» more  MVA 2008»
15 years 6 months ago
A new graph cut-based multiple active contour algorithm without initial contours and seed points
This paper presents a new graph cut-based multiple active contour algorithm to detect optimal boundaries and regions in images without initial contours and seed points. The task of...
Jong-Sung Kim, Ki-Sang Hong
CIRA
2007
IEEE
147views Robotics» more  CIRA 2007»
16 years 22 days ago
A general framework for vessel segmentation in retinal images
Abstract— We present a general framework for vessel segmentation in retinal images with a particular focus on small vessels. The retinal images are first processed by a nonlinea...
Chang-Hua Wu, Gady Agam, Peter Stanchev
CVPR
2006
IEEE
15 years 8 months ago
Locally Linear Models on Face Appearance Manifolds with Application to Dual-Subspace Based Classification
Recently, there has been a flurry of research on face recognition based on multiple images or shots from either a video sequence or an image set. This paper is also such an attemp...
Wei Fan, Dit-Yan Yeung
ICCV
2009
IEEE
15 years 4 months ago
Incremental Multiple Kernel Learning for object recognition
A good training dataset, representative of the test images expected in a given application, is critical for ensuring good performance of a visual categorization system. Obtaining ...
Aniruddha Kembhavi, Behjat Siddiquie, Roland Miezi...