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KDD
2008
ACM
137views Data Mining» more  KDD 2008»
16 years 5 months ago
Learning classifiers from only positive and unlabeled data
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
Charles Elkan, Keith Noto
WWW
2009
ACM
16 years 5 months ago
Query clustering using click-through graph
In this paper we describe a problem of discovering query clusters from a click-through graph of web search logs. The graph consists of a set of web search queries, a set of pages ...
Jeonghee Yi, Farzin Maghoul
CVPR
2010
IEEE
16 years 1 months ago
Noise-Optimal Capture for High Dynamic Range Photography
Taking multiple exposures is a well-established approach both for capturing high dynamic range (HDR) scenes and for noise reduction. But what is the optimal set of photos to captur...
Samuel W. Hasinoff, Frédo Durand, and William T. ...
ICDAR
2003
IEEE
15 years 10 months ago
Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis
Neural networks are a powerful technology for classification of visual inputs arising from documents. However, there is a confusing plethora of different neural network methods th...
Patrice Simard, David Steinkraus, John C. Platt
3DIM
1997
IEEE
15 years 9 months ago
Registration and Integration of Textured 3-D Data
In general, multiple views are required to create a complete 3-D model of an object or of a multi-roomed indoor scene. In this work, we address the problem of merging multiple tex...
Andrew Edie Johnson, Sing Bing Kang