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ICIP
2004
IEEE
16 years 8 months ago
Real-time temporal texture characterisation using block based motion co-occurrence statistics
Contemporary temporal texture classification methods use pixel based features thus making the process slow for time sensitive applications like video indexing and surveillance. In...
Ashfaqur Rahman, M. Manzur Murshed
BMCBI
2008
204views more  BMCBI 2008»
15 years 6 months ago
EST2uni: an open, parallel tool for automated EST analysis and database creation, with a data mining web interface and microarra
Background: Expressed sequence tag (EST) collections are composed of a high number of single-pass, redundant, partial sequences, which need to be processed, clustered, and annotat...
Javier Forment, Francisco Gilabert Villamón...
CN
2006
163views more  CN 2006»
15 years 6 months ago
A framework for mining evolving trends in Web data streams using dynamic learning and retrospective validation
The expanding and dynamic nature of the Web poses enormous challenges to most data mining techniques that try to extract patterns from Web data, such as Web usage and Web content....
Olfa Nasraoui, Carlos Rojas, Cesar Cardona
ICIP
2007
IEEE
16 years 26 days ago
Fast Blotch Detection Algorithm for Degraded Film Sequences Based on MRF Models
This paper proposes a fast blotch detection algorithm based on a Markov Random Field (MRF) model with less computational load and with lower false alarm rate than the existing MRF...
Sang-Churl Nam, Masahide Abe, Masayuki Kawamata
KDD
2001
ACM
253views Data Mining» more  KDD 2001»
16 years 7 months ago
GESS: a scalable similarity-join algorithm for mining large data sets in high dimensional spaces
The similarity join is an important operation for mining high-dimensional feature spaces. Given two data sets, the similarity join computes all tuples (x, y) that are within a dis...
Jens-Peter Dittrich, Bernhard Seeger