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116
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JMLR
2012
13 years 1 months ago
Metric and Kernel Learning Using a Linear Transformation
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
SDM
2012
SIAM
247views Data Mining» more  SDM 2012»
13 years 1 months ago
Image Mining of Historical Manuscripts to Establish Provenance
he recent digitization of more than twenty million books has been led by initiatives from countries wishing to preserve their cultural heritage and by commercial endeavors, such a...
Bing Hu, Thanawin Rakthanmanon, Bilson J. L. Campa...
166
Voted
SDM
2012
SIAM
285views Data Mining» more  SDM 2012»
13 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...
110
Voted
ECCV
2008
Springer
16 years 24 days ago
Robust 3D Pose Estimation and Efficient 2D Region-Based Segmentation from a 3D Shape Prior
In this work, we present an approach to jointly segment a rigid object in a 2D image and estimate its 3D pose, using the knowledge of a 3D model. We naturally couple the two proces...
Samuel Dambreville, Romeil Sandhu, Anthony J. Yezz...
108
Voted
IANDC
2008
141views more  IANDC 2008»
14 years 11 months ago
Graph connectivity, partial words, and a theorem of Fine and Wilf
The problem of computing periods in words, or finite sequences of symbols from a finite alphabet, has important applications in several areas including data compression, string se...
Francine Blanchet-Sadri, Deepak Bal, Gautam Sisodi...