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» Object detection using spatial histogram features
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CRV
2007
IEEE
116views Robotics» more  CRV 2007»
15 years 9 months ago
A non-myopic approach to visual search
We show how a greedy approach to visual search — i.e., directly moving to the most likely location of the target — can be suboptimal, if the target object is hard to detect. I...
Julia Vogel, Kevin Murphy
137
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KDD
2005
ACM
205views Data Mining» more  KDD 2005»
15 years 8 months ago
Feature bagging for outlier detection
Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel feature bagging approach for detecting outliers in...
Aleksandar Lazarevic, Vipin Kumar
AAAI
2007
15 years 5 months ago
Detection of Multiple Deformable Objects using PCA-SIFT
In this paper, we address the problem of identifying and localizing multiple instances of highly deformable objects in real-time video data. We present an approach which uses PCA-...
Stefan Zickler, Alexei A. Efros
119
Voted
IJCNN
2007
IEEE
15 years 9 months ago
Analysis of mammogram using self-organizing neural networks based on spatial isomorphism
— The correct segmentation and measurement of mammography images is of fundamental importance for the development of automatic or computer-aided cancer detection systems. In this...
Aida A. Ferreira, Francisco Nascimento Jr., Ing Re...
127
Voted
ICMCS
2005
IEEE
153views Multimedia» more  ICMCS 2005»
15 years 8 months ago
Improved semantic region labeling based on scene context
Semantic region labeling in outdoor scenes, e.g., identifying sky, grass, foliage, water, and snow, facilitates content-based image retrieval, organization, and enhancement. A maj...
Matthew R. Boutell, Jiebo Luo, Christopher M. Brow...