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SDM
2012
SIAM
285views Data Mining» more  SDM 2012»
12 years 1 months ago
A Novel Approximation to Dynamic Time Warping allows Anytime Clustering of Massive Time Series Datasets
Given the ubiquity of time series data, the data mining community has spent significant time investigating the best time series similarity measure to use for various tasks and dom...
Qiang Zhu 0002, Gustavo E. A. P. A. Batista, Thana...
CVPR
2012
IEEE
12 years 1 months ago
Spatio-temporal motion tracking with unsynchronized cameras
We present a new spatio-temporal method for markerless motion capture. We reconstruct the pose and motion of a character from a multi-view video sequence without requiring the cam...
A. Elhayek, Carsten Stoll, Nils Hasler, Kwang In K...
JMLR
2012
12 years 1 months ago
Algorithms for Learning Kernels Based on Centered Alignment
This paper presents new and effective algorithms for learning kernels. In particular, as shown by our empirical results, these algorithms consistently outperform the so-called uni...
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
ICDAR
2011
IEEE
12 years 10 months 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
12 years 10 months 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
13 years 1 months 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
419views Data Mining» more  PAKDD 2011»
13 years 1 months 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
253views Data Mining» more  PAKDD 2011»
13 years 1 months 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
13 years 2 months 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
197views Database» more  EDBT 2011»
13 years 2 months 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