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DASFAA
2010
IEEE
419views Database» more  DASFAA 2010»
16 years 1 months ago
Incremental Clustering for Trajectories
Trajectory clustering has played a crucial role in data analysis since it reveals underlying trends of moving objects. Due to their sequential nature, trajectory data are often rec...
Zhenhui Li, Jae-Gil Lee, Xiaolei Li, Jiawei Han
CVPR
2011
IEEE
15 years 4 months ago
Globally-Optimal Greedy Algorithms for Tracking a Variable Number of Objects
We analyze the computational problem of multi-object tracking in video sequences. We formulate the problem using a cost function that requires estimating the number of tracks, as ...
Hamed Pirsiavash, Deva Ramanan, Charless Fowlkes
BMCBI
2011
14 years 10 months ago
PeakRanger: A cloud-enabled peak caller for ChIP-seq data
Background: Chromatin immunoprecipitation (ChIP), coupled with massively parallel short-read sequencing (seq) is used to probe chromatin dynamics. Although there are many algorith...
Xin Feng, Robert Grossman, Lincoln Stein
DGCI
2006
Springer
15 years 10 months ago
A Network Flow Algorithm for Binary Image Reconstruction from Few Projections
Tomography deals with the reconstruction of images from their projections. In this paper we focus on tomographic reconstruction of binary images (i.e., black-and-white) that do not...
Kees Joost Batenburg
221
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JMLR
2006
124views more  JMLR 2006»
15 years 6 months ago
A Direct Method for Building Sparse Kernel Learning Algorithms
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...
Mingrui Wu, Bernhard Schölkopf, Gökhan H...