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» Detecting branching structures using local Gaussian models
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ICPR
2006
IEEE
16 years 2 months ago
Exploiting High Dimensional Video Features Using Layered Gaussian Mixture Models
Analysis of video data usually requires training classifiers in high dimensional feature spaces. This paper proposes a layered Gaussian mixture model (LGMM) to exploit high dimens...
Datong Chen, Jie Yang
EMMCVPR
2011
Springer
14 years 1 months ago
Branch and Bound Strategies for Non-maximal Suppression in Object Detection
In this work, we are concerned with the detection of multiple objects in an image. We demonstrate that typically applied objectives have the structure of a random field model, but...
Matthew B. Blaschko
ICCV
2009
IEEE
16 years 6 months ago
Active Skeleton for Non-rigid Object Detection
We present a shape-based algorithm for detecting and recognizing non-rigid objects from natural images. The existing literature in this domain often cannot model the objects ver...
Xiang Bai, Xinggang Wang, Longin Jan Latecki, Weny...
WEBI
2009
Springer
15 years 8 months ago
Adaptive Distributed Intrusion Detection Using Parametric Model
Due to the increasing demands for network security, distributed intrusion detection has become a hot research topic in computer science. However, the design and maintenance of the...
Jun Gao, Weiming Hu, Xiaoqin Zhang, Xi Li
CLOR
2006
15 years 5 months ago
Object Recognition by Combining Appearance and Geometry
We present a new class of statistical models for part-based object recognition. These models are explicitly parametrized according to the degree of spatial structure that they can ...
David J. Crandall, Pedro F. Felzenszwalb, Daniel P...