SDM
2012
SIAM
12 years 1 months ago
2012
SIAM
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...
CVPR
2012
IEEE
12 years 1 months ago
2012
IEEE
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...
JMLR
2012
12 years 1 months ago
2012
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...
ICDAR
2011
IEEE
12 years 11 months ago
2011
IEEE
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...
AMAI
2011
Springer
12 years 11 months ago
2011
Springer
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...
PVLDB
2011
13 years 2 months ago
2011
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 ...
PAKDD
2011
ACM
13 years 2 months ago
2011
ACM
Abstract. The concept of similarity is fundamentally important in almost every scientific field. Clustering, distance-based outlier detection, classification, regression and sea...
PAKDD
2011
ACM
13 years 2 months ago
2011
ACM
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...
IAJIT
2011
13 years 2 months ago
2011
: 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...
EDBT
2011
ACM
13 years 2 months ago
2011
ACM
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...