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ECCV
2008
Springer
14 years 10 months ago
Learning Spatial Context: Using Stuff to Find Things
The sliding window approach of detecting rigid objects (such as cars) is predicated on the belief that the object can be identified from the appearance in a small region around the...
Geremy Heitz, Daphne Koller
ICPR
2000
IEEE
14 years 10 months ago
A Quick 3D-2D Registration Method for a Wide-Range of Applications
Amethod for quick determination of the position and pose of a 3D free-form object with respect to its 2D projective image(s) is proposed. It is a precondition of the method that a...
Yasuyo Kita, Nobuyuki Kita, Dale L. Wilson, J. Ali...
IJON
2006
146views more  IJON 2006»
13 years 8 months ago
Feature selection and classification using flexible neural tree
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
Yuehui Chen, Ajith Abraham, Bo Yang
ISVC
2010
Springer
13 years 6 months ago
Split Bregman Method for Minimization of Region-Scalable Fitting Energy for Image Segmentation
Abstract. In this paper, we incorporated the global convex segmentation method and the split Bregman technique into the region-scalable fitting energy model. The new proposed metho...
Yunyun Yang, Chunming Li, Chiu-Yen Kao, Stanley Os...
MICCAI
2008
Springer
14 years 10 months ago
Automatic Image Analysis of Histopathology Specimens Using Concave Vertex Graph
Automatic image analysis of histopathology specimens would help the early detection of blood cancer. The first step for automatic image analysis is segmentation. However, touching ...
Lin Yang, Oncel Tuzel, Peter Meer, David J. For...