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SDM
2004
SIAM
212views Data Mining» more  SDM 2004»
15 years 5 months ago
Clustering with Bregman Divergences
A wide variety of distortion functions, such as squared Euclidean distance, Mahalanobis distance, Itakura-Saito distance and relative entropy, have been used for clustering. In th...
Arindam Banerjee, Srujana Merugu, Inderjit S. Dhil...
SPIESR
2004
143views Database» more  SPIESR 2004»
15 years 5 months ago
An entropy-based objective evaluation method for image segmentation
Accurate image segmentation is important for many image, video and computer vision applications. Over the last few decades, many image segmentation methods have been proposed. How...
Hui Zhang, Jason E. Fritts, Sally A. Goldman
UAI
2003
15 years 5 months ago
On the Convergence of Bound Optimization Algorithms
Many practitioners who use EM and related algorithms complain that they are sometimes slow. When does this happen, and what can be done about it? In this paper, we study the gener...
Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahra...
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BMCBI
2010
98views more  BMCBI 2010»
15 years 4 months ago
Prediction of protein structural classes for low-homology sequences based on predicted secondary structure
Background: Prediction of protein structural classes (a, b, a + b and a/b) from amino acid sequences is of great importance, as it is beneficial to study protein function, regulat...
Jian-Yi Yang, Zhen-Ling Peng, Xin Chen
CORR
2010
Springer
135views Education» more  CORR 2010»
15 years 4 months ago
Information Distance
While Kolmogorov complexity is the accepted absolute measure of information content in an individual finite object, a similarly absolute notion is needed for the information distan...
Charles H. Bennett, Péter Gács, Ming...