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» Mining Very Large Databases
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TSD
2005
Springer
14 years 3 months ago
Why Is the Recognition of Spontaneous Speech so Hard?
Although speech, derived from reading texts, and similar types of speech, e.g. that from reading newspapers or that from news broadcast, can be recognized with high accuracy, recog...
Sadaoki Furui, Masanobu Nakamura, Tomohisa Ichiba,...
AVI
2006
13 years 11 months ago
Task-at-hand interface for change detection in stock market data
Companies trading stocks need to store information on stock prices over specific time intervals, which results in very large databases. Large quantities of numerical data (thousan...
Carmen Sanz Merino, Mike Sips, Daniel A. Keim, Chr...
IR
2008
13 years 10 months ago
Features for image retrieval: an experimental comparison
An experimental comparison of a large number of different image descriptors for content-based image retrieval is presented. Many of the papers describing new techniques and descri...
Thomas Deselaers, Daniel Keysers, Hermann Ney
ECCV
2006
Springer
14 years 12 months ago
TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation
Abstract. This paper proposes a new approach to learning a discriminative model of object classes, incorporating appearance, shape and context information efficiently. The learned ...
Jamie Shotton, John M. Winn, Carsten Rother, Anton...
SIGMOD
2009
ACM
137views Database» more  SIGMOD 2009»
14 years 10 months ago
Entity resolution with iterative blocking
Entity Resolution (ER) is the problem of identifying which records in a database refer to the same real-world entity. An exhaustive ER process involves computing the similarities b...
Steven Euijong Whang, David Menestrina, Georgia Ko...