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CVPR
2004
IEEE
16 years 1 months ago
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...
124
Voted
CIVR
2008
Springer
279views Image Analysis» more  CIVR 2008»
15 years 28 days ago
Semi-supervised learning of object categories from paired local features
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
Wen Wu, Jie Yang
85
Voted
TSP
2010
14 years 5 months ago
On entropy rate for the complex domain and its application to i.i.d. sampling
We derive the entropy rate formula for a complex Gaussian random process by using a widely linear model. The resulting expression is general and applicable to both circular and non...
Wei Xiong, Hualiang Li, Tülay Adali, Yi-Ou Li...
3DIM
2001
IEEE
15 years 2 months ago
Comparison of HK and SC Curvature Description Methods
This paper compares two different local surface shape description methods. The general goal of surface shape description methods is to classify different surface shapes from range...
H. Cantzler, Robert B. Fisher
PAMI
2008
109views more  PAMI 2008»
14 years 11 months ago
Likelihood Ratio-Based Biometric Score Fusion
Multibiometric systems fuse information from different sources to compensate for the limitations in performance of individual matchers. We propose a framework for optimal combinati...
Karthik Nandakumar, Yi Chen, Sarat C. Dass, Anil K...