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ICPR
2000
IEEE
15 years 2 months ago
Video Cut Detection using Frequency Domain Correlation
A common video indexing technique is to segment a video sequence into shots and then select representative key-frames. The process of shot break detection is a fundamental compone...
Sarah V. Porter, Majid Mirmehdi, Barry T. Thomas
NIPS
1998
14 years 11 months ago
A High Performance k-NN Classifier Using a Binary Correlation Matrix Memory
This paper presents a novel and fast k-NN classifier that is based on a binary CMM (Correlation Matrix Memory) neural network. A robust encoding method is developed to meet CMM in...
Ping Zhou, Jim Austin, John Kennedy
SODA
2010
ACM
189views Algorithms» more  SODA 2010»
15 years 7 months ago
Correlation Clustering with Noisy Input
Correlation clustering is a type of clustering that uses a basic form of input data: For every pair of data items, the input specifies whether they are similar (belonging to the s...
Claire Mathieu, Warren Schudy
SADM
2008
165views more  SADM 2008»
14 years 9 months ago
Global Correlation Clustering Based on the Hough Transform
: In this article, we propose an efficient and effective method for finding arbitrarily oriented subspace clusters by mapping the data space to a parameter space defining the set o...
Elke Achtert, Christian Böhm, Jörn David...
BMCBI
2010
102views more  BMCBI 2010»
14 years 10 months ago
Quantized correlation coefficient for measuring reproducibility of ChIP-chip data
Background: Chromatin immunoprecipitation followed by microarray hybridization (ChIP-chip) is used to study protein-DNA interactions and histone modifications on a genome-scale. T...
Shouyong Peng, Mitzi I. Kuroda, Peter J. Park