A. Hamza, Y. He, and H. Krim, "An information divergence measure for ISAR image registration," IEEE Workshop on Statistical Image Proc., 2001. Home/Search Document Details and Download
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Alpha-Divergence for Classification, Indexing and Retrieval - Alfred Hero Bing (2001) (Correct)
....quantity is the Jensen difference which is a function of the joint entropy of pairs of feature vectors derived from the query and images in the database. The Jensen difference was proposed independently by Ma [31, 30] for registering pairs of image modalities and by He, Ben Hamza and Krim [19] for registering an arbitrary number of image modalities. Another special case of the divergence is the information which is a generalization of the Shannon mutual information. Although we do not explore this extension here, the information can be further generalized to the f information ....
.... via the Panter Dite factor and Bennett s integral [15, 34] The entropy parametrizes the Chernoff exponent governing the minimum probability of error in binary detection problems [26, 6] It also has been used for image registration from multiple modalities via the Jensen difference [31, 30, 19]. The most natural estimation method is to substitute a non parametric density estimator f into the expression for entropy. This method has been widely applied to estimation of the Shannon entropy and is called plug in estimation in [4] Other methods of Shannon entropy estimation discussed in ....
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Y. He, A. Ben-Hamza, and H. Krim, "An information divergence measure for ISAR image registration," Signal Processing, Submitted, 2001.
Active Polygons for Object Tracking - Unal, Krim, Yezzi Self-citation (Krim) (Correct)
....criterion that captures the underlying statistical properties of each region delineated by a contour (particularly a polygon) and defines a metric among them. This may be achieved by an information divergence measure that defines a distance among probability densities. On account of its properties [3], we pick as our energy functional the JensenShannon criterion which, in its general form may be written for # probability densities ( with prior probabilities, # ### # ###### # # such that # # ##)as ## # # # # # # # ### # # ### # #### (3) where # # ### denotes the probability ....
A. B. Hamza, Y. He, and H. Krim. An information divergence measure for ISAR image registration. In IEEE Workshop on Statistical Signal Processing, pages 130--133, 2001.
Robust Registration and Tracking Using Kernel Density.. - Maneesh Singh Himanshu (2004) (Correct)
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A. Hamza, Y. He, and H. Krim, "An information divergence measure for ISAR image registration," IEEE Workshop on Statistical Image Proc., 2001.
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