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ICDAR
2011
IEEE
1 months 16 days ago
Non-rigid Registration and Restoration of Double-Sided Historical Manuscripts
This paper presents a fully automatic framework for the restoration of double-sided historical manuscripts which are impaired by ink bleed-through distortions. First, the recto si...
Jie Wang, Chew Lim Tan
AMAI
2011
Springer
1 months 28 days ago
Similarity measures in formal concept analysis
Formal concept analysis (FCA) has been applied successively in diverse fields such as data mining, conceptual modeling, social networks, software engineering, and the semantic we...
Faris Alqadah, Raj Bhatnagar
PVLDB
2011
4 months 24 days ago
An Incremental Hausdorff Distance Calculation Algorithm
The Hausdorff distance is commonly used as a similarity measure between two point sets. Using this measure, a set X is considered similar to Y iff every point in X is close to at ...
Sarana Nutanong, Edwin H. Jacox, Hanan Samet
PAKDD
2011
ACM
38views Data Mining» more  PAKDD 2011»
4 months 24 days ago
DISC: Data-Intensive Similarity Measure for Categorical Data
Abstract. The concept of similarity is fundamentally important in almost every scientific field. Clustering, distance-based outlier detection, classification, regression and sea...
Aditya Desai, Himanshu Singh, Vikram Pudi
PAKDD
2011
ACM
43views Data Mining» more  PAKDD 2011»
4 months 24 days ago
Balance Support Vector Machines Locally Using the Structural Similarity Kernel
A structural similarity kernel is presented in this paper for SVM learning, especially for learning with imbalanced datasets. Kernels in SVM are usually pairwise, comparing the sim...
Jianxin Wu
IAJIT
2011
5 months 13 days ago
A hierarchical K-NN classifier for textual data
: This paper presents a classifier that is based on a modified version of the well known K-Nearest Neighbors classifier (K-NN). The original K-NN classifier was adjusted to work wi...
Rehab M. Duwairi, Rania Al-Zubaidi
EDBT
2011
ACM
32views Database» more  EDBT 2011»
5 months 15 days ago
Symmetrizations for clustering directed graphs
Graph clustering has generally concerned itself with clustering undirected graphs; however the graphs from a number of important domains are essentially directed, e.g. networks of...
Venu Satuluri, Srinivasan Parthasarathy
CSDA
2011
5 months 15 days ago
A nonparametric-test-based structural similarity measure for digital images
: In image processing, image similarity indices evaluate how much structural information is maintained by a processed image in relation to a reference image. Commonly used measures...
Haiyan Wang, Diego Maldonado, Sharad Silwal
ICASSP
2011
IEEE
5 months 21 days ago
A new video similarity measure model based on video time density function and dynamic programming
In this paper, we propose a novel video similarity measure model using video time density function (VTDF) and dynamic programming. First, we employ VTDF to describe the density of...
Junfeng Jiang, Xiao-Ping Zhang, Alexander C. Loui
ICASSP
2011
IEEE
5 months 21 days ago
Similarity learning for semi-supervised multi-class boosting
In semi-supervised classification boosting, a similarity measure is demanded in order to measure the distance between samples (both labeled and unlabeled). However, most of the e...
Q. Y. Wang, Pong Chi Yuen, Guo-Can Feng
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