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» Surrogate data: A novel approach to object detection
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CVPR
2012
IEEE
11 years 8 months ago
Coupling detection and data association for multiple object tracking
We present a novel framework for multiple object tracking in which the problems of object detection and data association are expressed by a single objective function. The framewor...
Zheng Wu, Ashwin Thangali, Stan Sclaroff, Margrit ...
PAKDD
2009
ACM
149views Data Mining» more  PAKDD 2009»
13 years 10 months ago
A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data
Detecting outliers which are grossly different from or inconsistent with the remaining dataset is a major challenge in real-world KDD applications. Existing outlier detection met...
Ke Zhang, Marcus Hutter, Huidong Jin
ICPR
2004
IEEE
14 years 7 months ago
Novel Seed Selection for Multiple Objects Detection and Tracking
This paper proposes a unified approach for initializing, detecting and tracking of multiple moving objects. Object initialization is achieved through novel seed selection which is...
Chong-Wah Ngo, Zailiang Pan
BMCBI
2007
141views more  BMCBI 2007»
13 years 6 months ago
A novel approach to detect hot-spots in large-scale multivariate data
Background: Progressive advances in the measurement of complex multifactorial components of biological processes involving both spatial and temporal domains have made it difficult...
Jianhua Wu, Keith M. Kendrick, Jianfeng Feng
ICMCS
2005
IEEE
182views Multimedia» more  ICMCS 2005»
13 years 12 months ago
An integrated approach for generic object detection using kernel PCA and boosting
In this paper we present a novel framework for generic object class detection by integrating Kernel PCA with AdaBoost. The classifier obtained in this way is invariant to changes...
Saad Ali, Mubarak Shah