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» Making inferences with small numbers of training sets
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KDD
2007
ACM
156views Data Mining» more  KDD 2007»
14 years 9 months ago
Estimating rates of rare events at multiple resolutions
We consider the problem of estimating occurrence rates of rare events for extremely sparse data, using pre-existing hierarchies to perform inference at multiple resolutions. In pa...
Deepak Agarwal, Andrei Z. Broder, Deepayan Chakrab...
PCM
2004
Springer
99views Multimedia» more  PCM 2004»
14 years 2 months ago
An Online Learning Framework for Sports Video View Classification
Sports videos have special characteristics such as well-defined video structure, specialized sports syntax, and some canonical view types. In this paper, we proposed an online lear...
Jun Wu, Xian-Sheng Hua, Jianmin Li, Bo Zhang, Hong...
CDC
2009
IEEE
130views Control Systems» more  CDC 2009»
14 years 27 days ago
Mixed linear system estimation and identification
We consider a mixed linear system model, with both continuous and discrete inputs and outputs, described by a coefficient matrix and a set of noise variances. When the discrete inp...
Argyrios Zymnis, Stephen P. Boyd, Dimitry M. Gorin...
CHI
2004
ACM
14 years 9 months ago
Single-handed interaction techniques for multiple pressure-sensitive strips
We present a set of interaction techniques that make novel use of a small pressure-sensitive pad to allow one-handed direct control of a large number of parameters. The surface of...
Gábor Blaskó, Steven Feiner
ICDM
2007
IEEE
137views Data Mining» more  ICDM 2007»
14 years 3 months ago
Locally Constrained Support Vector Clustering
Support vector clustering transforms the data into a high dimensional feature space, where a decision function is computed. In the original space, the function outlines the bounda...
Dragomir Yankov, Eamonn J. Keogh, Kin Fai Kan