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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»
16 years 6 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»
15 years 11 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»
15 years 10 months 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
16 years 6 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»
16 years 15 days 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