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» New Algorithms for Statistical Analysis of Interval Data
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ICIP
2005
IEEE
16 years 6 months ago
Segmenting non stationary images with triplet Markov fields
The hidden Markov field (HMF) model has been used in many model-based solutions to image analysis problems, including that of image segmentation, and generally gives satisfying re...
Dalila Benboudjema, Wojciech Pieczynski
ISCAS
2005
IEEE
163views Hardware» more  ISCAS 2005»
15 years 10 months ago
Shot change detection on H.264/AVC compressed video
—This paper deals with the problem of shot-change detection on H.264/AVC compressed video. As H.264/AVC employs several new coding tools, the statistic information of macroblock ...
Wei Zeng, Wen Gao
KDD
2009
ACM
179views Data Mining» more  KDD 2009»
15 years 12 months ago
Identifying graphs from noisy and incomplete data
There is a growing wealth of data describing networks of various types, including social networks, physical networks such as transportation or communication networks, and biologic...
Galileo Mark S. Namata Jr., Lise Getoor
GFKL
2005
Springer
105views Data Mining» more  GFKL 2005»
15 years 10 months ago
Implications of Probabilistic Data Modeling for Mining Association Rules
Mining association rules is an important technique for discovering meaningful patterns in transaction databases. In the current literature, the properties of algorithms to mine ass...
Michael Hahsler, Kurt Hornik, Thomas Reutterer
ICDE
2008
IEEE
141views Database» more  ICDE 2008»
16 years 6 months ago
SPOT: A System for Detecting Projected Outliers From High-dimensional Data Streams
In this paper, we present a new technique, called Stream Projected Ouliter deTector (SPOT), to deal with outlier detection problem in high-dimensional data streams. SPOT is unique ...
Ji Zhang, Qigang Gao, Hai H. Wang